Agenda
Data Natives took place online for the first time in 2020. More than 100 speakers from the fields of AI, machine learning, data science, and technology for social impact – including experts from The New York Times, IBM, Bayer, and Alibaba Cloud – talked on our virtual stages.
While we polish the 2022 agenda for the big event (August 31 to September 2), take a look at the 2020 agenda to get a feel for the amazing content on offer.
Dn Unlimited Schedule
Conference
Moderation: Stewart Rogers
DAY 1: Nov 18 • Main Stage
Stewart Rogers
Analyst-at-large at VentureBeat
Moderation: Caroline Harth
DAY 1: Nov 18 • Data Economy
Caroline Harth
Founder and CEO at Harthcommunications
Moderation: Steve Tattum
DAY 1: Nov 18 • Data Science
Steve Tattum
Research Assistant at polypoly
Moderation: Idil Serifoglu
DAY 1: Nov 18 • Future Society
Idil Serifoglu
Creative Producer at betahausX
Opening Words: "Morgen ist die Frage"
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
13:00 - 14:15 • Main Stage
Opening Words: "Morgen ist die Frage"
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
The future is uncertain, the world seems to be ending, there is an economic war, there are elections, VUCA becomes again relevant, and so data science is ever more important to understand and notice the patterns within the systems, to predict the unpredictable, to observe and comprehend all these massive amounts of data and to allow for serendipity as well. It’s the perfect time for balancing between the vague and the precise, the structure and the unstructured, control, and let go.
Data scientists have a responsibility to take an oath and to participate in building the patterns, in observing the data from COVID-19, to predict where Climate Change will heat next, who is going to win in the next elections, which social media platforms are compromised and other significant challenges.
Opening Words: "Morgen ist die Frage"
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
14:00 - 14:15 • Data Economy
Opening Words: "Morgen ist die Frage"
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
The future is uncertain, the world seems to be ending, there is an economic war, there are elections, VUCA becomes again relevant, and so data science is ever more important to understand and notice the patterns within the systems, to predict the unpredictable, to observe and comprehend all these massive amounts of data and to allow for serendipity as well. It’s the perfect time for balancing between the vague and the precise, the structure and the unstructured, control, and let go.
Data scientists have a responsibility to take an oath and to participate in building the patterns, in observing the data from COVID-19, to predict where Climate Change will heat next, who is going to win in the next elections, which social media platforms are compromised and other significant challenges.
Opening Words: "Morgen ist die Frage"
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
14:00 - 14:15 • Data Science
Opening Words: "Morgen ist die Frage"
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
The future is uncertain, the world seems to be ending, there is an economic war, there are elections, VUCA becomes again relevant, and so data science is ever more important to understand and notice the patterns within the systems, to predict the unpredictable, to observe and comprehend all these massive amounts of data and to allow for serendipity as well. It’s the perfect time for balancing between the vague and the precise, the structure and the unstructured, control, and let go.
Data scientists have a responsibility to take an oath and to participate in building the patterns, in observing the data from COVID-19, to predict where Climate Change will heat next, who is going to win in the next elections, which social media platforms are compromised and other significant challenges.
Opening Words: "Morgen ist die Frage"
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
14:00 - 14:15 • Future Society
Opening Words: "Morgen ist die Frage"
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
The future is uncertain, the world seems to be ending, there is an economic war, there are elections, VUCA becomes again relevant, and so data science is ever more important to understand and notice the patterns within the systems, to predict the unpredictable, to observe and comprehend all these massive amounts of data and to allow for serendipity as well. It’s the perfect time for balancing between the vague and the precise, the structure and the unstructured, control, and let go.
Data scientists have a responsibility to take an oath and to participate in building the patterns, in observing the data from COVID-19, to predict where Climate Change will heat next, who is going to win in the next elections, which social media platforms are compromised and other significant challenges.
How to put AI to work
By Ann-Elise DelbecqData Science and AI elite team-Program Director at IBM
14:20 - 14:50 • Main Stage
How to put AI to work
By Ann-Elise Delbecq
Data Science and AI elite team-Program Director at IBM
During this talk, Ann-Elise will share the Data Science and AI Elite teams experience across the globe. This experience spans from non for profit initiatives to companies in different industries.
How to put AI to work
By Ann-Elise DelbecqData Science and AI elite team-Program Director at IBM
14:20 - 14:50 • Data Economy
How to put AI to work
By Ann-Elise Delbecq
Data Science and AI elite team-Program Director at IBM
During this talk, Ann-Elise will share the Data Science and AI Elite teams experience across the globe. This experience spans from non for profit initiatives to companies in different industries.
How to put AI to work
By Ann-Elise DelbecqData Science and AI elite team-Program Director at IBM
14:20 - 14:50 • Data Science
How to put AI to work
By Ann-Elise Delbecq
Data Science and AI elite team-Program Director at IBM
During this talk, Ann-Elise will share the Data Science and AI Elite teams experience across the globe. This experience spans from non for profit initiatives to companies in different industries.
How to put AI to work
By Ann-Elise DelbecqData Science and AI elite team-Program Director at IBM
14:20 - 14:50 • Future Society
How to put AI to work
By Ann-Elise Delbecq
Data Science and AI elite team-Program Director at IBM
During this talk, Ann-Elise will share the Data Science and AI Elite teams experience across the globe. This experience spans from non for profit initiatives to companies in different industries.
How to put AI to work
By Ann-Elise DelbecqData Science and AI elite team-Program Director at IBM
14:20 - 14:50 • IBM
How to put AI to work
By Ann-Elise Delbecq
Data Science and AI elite team-Program Director at IBM
During this talk, Ann-Elise will share the Data Science and AI Elite teams experience across the globe. This experience spans from non for profit initiatives to companies in different industries.
Data Science at The New York Times
By Christopher WigginsChief Data Scientist at The New York Times
15:00 - 15:20 • Main Stage
Data Science at The New York Times
By Christopher Wiggins
Chief Data Scientist at The New York Times
The Data Science group at The New York Times develops and deploys machine learning solutions to newsroom and business problems. Re-framing real-world questions as machine learning tasks require not only adapting and extending models and algorithms to new or special cases but also sufficient breadth to know the right method for the right challenge.
In his talk, Christopher Wiggins will outline how unsupervised, supervised, and reinforcement learning methods are increasingly used in human applications for description, prediction, and prescription. He will discuss ‘prescriptive’ cases, showing how methods from the reinforcement learning and causal inference literature can be of direct impact in engineering, business, and decision-making.
Alibaba Big Data and Machine Learning Technology
By Qiyang DuanSenior Big Data and AI Solution Architect at Alibaba Cloud Intelligence
15:00 - 15:20 • Data Economy
Alibaba Big Data and Machine Learning Technology
By Qiyang Duan
Senior Big Data and AI Solution Architect at Alibaba Cloud Intelligence
Alibaba offers full technology stack of Big Data and AI, from data storage to analytics and then Visualization. To name a few, Dataworks, Maxcompute, OSS, EMR, ADB, PAI, Quickbi, DataV, etc. In this session, I will first give a general overview of what Alibaba offers and how you can use them for your business. I will focus more on Dataworks and PAI platform and make a small demo.
Medical Record Mapping and Applications
By Fernando López BelloBig Data Practice Leader at Quanam
15:00 - 15:20 • Data Science
Medical Record Mapping and Applications
By Fernando López Bello
Big Data Practice Leader at Quanam
In this paper, we introduce a framework for processing genetics and genomics literature, based on ontologies and lexical resources from the biomedical domain. The main objective is to support the diagnosis process that is done by medical geneticists who extract knowledge from published works.
We constructed a pipeline that gathers several genetics- and genomics-related resources and applies natural language processing techniques, which include named entity recognition and relation extraction. Working on a corpus created from PubMed abstracts, we built a knowledge database that can be used for processing medical records written in Spanish. Given a medical record from Uruguayan healthcare patients, we show how we can map it to the database and perform graph queries for relevant knowledge paths.
The framework is not an end user application, but an extensible processing structure to be leveraged by external applications, enabling software developers to streamline incorporation of the extracted knowledge.
Ice Breaker Games brought to you by Tbilisi fest
15:00 - 15:20 • Future Society
Ice Breaker Games brought to you by Tbilisi fest
Join the networking session with Forset, a civic tech organization specializing in effective communications for social issues using data, design, and technology.
Guidelines for Monitoring Algorithmic Systems
By Corinna BalkowFounder at Kommunikatorin
15:00 - 17:00 • Workshops
Guidelines for Monitoring Algorithmic Systems
By Corinna Balkow
Founder at Kommunikatorin
The regulation or monitoring of Algorithmic Systems includes not only the algorithms, or the data but also the people who decide, create, review, and use it – a complex system that needs to be looked at in its entirety. Guidelines for AI are needed as starting points for further discussions.
Panel: Social media's dead: "From deepfakes to fake news and/or the path to data soveireighty"
With Jordan French, Thorsten Dittmar, Kathrin SteinbichlerExecutive Editor, Founder at Grit Daily
15:25 - 16:15 • Main Stage
Panel: Social media's dead: "From deepfakes to fake news and/or the path to data soveireighty"
With Jordan French
Executive Editor, Founder at Grit Daily, With Thorsten Dittmar
Initiator and Director at polypoly, With Kathrin Steinbichler
Senior Editorial Manager at Looping Group
After fake news, the new frontier of AI-based scam are deep fakes. According to Deeptrace, there were 7,964 deep fake videos online at the beginning of 2019; nine months later that figure jumped to 14,678. Named the “dark side of AI”, deep fakes are the use of AI to create and edit seemingly real videos and audio recordings of people by using Generative Adversarial Networks (GANs), algorithms that can create new data from existing datasets.
Anyone with access to this technology gains the power to manipulate beliefs. How will that affect social media, data sovereignty, wellbeing? Are we prepared for this new threat?
Panel: Ending Culture Fit- HR’s role in creating truly inclusive environments
With Eve Logunova, Sola Osinoiki, Moojan Asghari, Stefanie StanislawskiAmbassador at Women AI Netherlands and Initiator at WaiACCELERATE
15:25 - 16:15 • Data Economy
Panel: Ending Culture Fit- HR’s role in creating truly inclusive environments
With Eve Logunova
Ambassador at Women AI Netherlands and Initiator at WaiACCELERATE, With Sola Osinoiki
Senior Director, Global People Technology at Prosus - Naspers, With Moojan Asghari
Founder & CEO at Thousand Faces, With Stefanie Stanislawski
CEO at Predictive People
The time to end the “one-size-fits-all” mentality has come. In order to close the gender gap and diversify our workplaces, we need to introduce new models, the right tools and data that will help companies understand how to help their employees thrive, engage, and become trusted advocates. Let’s talk about the new era of HR and it’s defining role in creating inclusive work environments.
Building a strategic data capability
By Archit GoyalSolutions Architecture Lead at Snowplow Analytics
15:25 - 15:45 • Data Science
Building a strategic data capability
By Archit Goyal
Solutions Architecture Lead at Snowplow Analytics
When it comes to building a robust and future-proof data stack, there are many important pieces to the puzzle.
The data journey is complex and by no means an easy feat. That’s why learning from others who’ve already been through parts of their journey can empower you on your way.
In this talk, Archit will have a look at:
- The modern data stack landscape, looking at the different pieces needed to derive actionable insights.
- Best practices when investing in a data warehouse and data model that fit your business needs.
Networking Activity brought to you by tech2impact
15:25 - 16:15 • Future Society
Networking Activity brought to you by tech2impact
Join the networking session with Tech2Impact – the global platform that supports impact tech founders with needed resources and opportunities and providing tailored guidance in corporate impact innovation.
Limits of intelligence: How far can we go?
By Danko NikolićHead of Data Science and AI at evocenta GmbH
15:50 - 16:15 • Data Science
Limits of intelligence: How far can we go?
By Danko Nikolić
Head of Data Science and AI at evocenta GmbH
It is often assumed that, with right algorithms, AI can reach high levels of intelligence quickly. Prophets of AI predict that machines will soon reach human-level intelligence and then, soon after, become far more intelligent than humans. However, these ideas seem untenable when one looks into the basic laws driving machine learning.
Prof. Dr. Dank Nikolic will describe seven problems faced by any attempt to rapidly advance AI. After all, it looks like we should be rather expecting a slow, long-term growth of machine capabilities paired with a sizable effort on our human side. A rapid explosion of machine intelligence without much human effort seems to just be science fiction.
From Twitter to TikTok: Mining political communication on social media
By Juan Carlos Medina SerranoPolitical Data Scientist at Technical University of Munich
16:20 - 16:40 • Main Stage
From Twitter to TikTok: Mining political communication on social media
By Juan Carlos Medina Serrano
Political Data Scientist at Technical University of Munich
This year the US election will once again make social media a political battleground and push the limits on the powers of digital advertising. Social media plays a major role in how political opinions are formed. In the last years, it has created a complex ecosystem: hyperactive users sharing their political opinions; passive users observing trending topics and statements from influencers; politicians attacking others to profit from the platform’s algorithms; journalists coping with losing their grip as information gatekeepers. The first part of this talk will explain how online political communication transformed in the last ten years, from Twitter to TikTok. The second part will focus on the data science algorithms to mine data from social media and obtain insights helpful in predicting elections and monitoring misinformation. Finally, Juan Carlos will give a glimpse of the future to come in elections, social media, and the surveillance economy.
Using Data Science to disrupt the banking industry
By Agostino CalamiaData Scientist at N26
16:20 - 16:40 • Data Economy
Using Data Science to disrupt the banking industry
By Agostino Calamia
Data Scientist at N26
As Europe’s first mobile bank N26 is changing the banking experience for customers. Breaking through traditional decision making N26 uses Machine Learning and Deep Learning to improve experience while offering an online only service. Starting as Tech-Start up the company was able to build up a rich ecosystem of different services and a stabil infrastructure.
Traditional banks require a lot of workforce for solving the most basic banking problems. N26 found agile ways to tackle basic topcis like customer support, financial crime prevention and credit risk with the help of Machine Learning. Different stages of a startup such as the corresponding way to handle data will be covered in this talk. We will also see examples of different approaches of Artificial Intelligence in different stages of companies.
Networking Activity brought to you by Omdena
16:20 - 16:40 • Data Science
Networking Activity brought to you by Omdena
Join the networking session facilitated by Omdena – the collaborative platform to build innovative, ethical, and efficient AI and Data Science solutions to real-world problems.
The Future of work is online
By Oussama AmmarCo-founder & Director at The Family
16:20 - 16:40 • Future Society
The Future of work is online
By Oussama Ammar
Co-founder & Director at The Family
COVID has affected the way we do business, build companies & interact with each other. In this talk, I will be exploring what the future of work could look like.
Networking Game
16:45 - 17:10 • Main Stage
Networking Game
Networking Game
16:45 - 17:10 • Data Economy
Networking Game
Networking Game
16:45 - 17:50 • Future Society
Networking Game
Panel: Deepfakes
With Areeq Chowdhury, Zoltan Kovacs, Luisa Verdoliva, Kathryn Harrison, Rosana de Oliveira GomesDirector at WebRoots Democracy
17:15 - 17:55 • Main Stage
Panel: Deepfakes
With Areeq Chowdhury
Director at WebRoots Democracy, With Zoltan Kovacs
CTO and Co-founder at Defudger, With Luisa Verdoliva
Associate Professor at University Federico II of Naples, With Kathryn Harrison
CEO at FixFake, With Rosana de Oliveira Gomes
Senior Data Scientist at HAKOM Time Series
It’s unclear when exactly Deepfakes were invented but the trend developed rapidly and no one knows how to stop it.
From personal reputation to manipulation of major political matters – deepfakes are becoming one of the biggest challenges technology has brought to our society. If it is unlikely to stop the trend from evolving, the question is – what can be done to prevent deepfakes from being used in dangerous ways?
Panel: data-driven decision making across sector
With Shamala Hinrichsen, Katrie Lowe, Charlie BallardCEO at Hanai
17:15 - 17:35 • Data Economy
Panel: data-driven decision making across sector
With Shamala Hinrichsen
CEO at Hanai, With Katrie Lowe
CEO, Co-Founder at Domi Labs, With Charlie Ballard
Founder/CEO at Relevancy Analytics
Panel discussion moderated by Shamala Hinrichsen. Use of data in making informed decisions, and management and regulation of their data on a personal level
Propaganda Analysis with NLP: What Can We Possibly Learn from "Fake News?"
By Weifeng ZhongSenior Research Fellow at Mercatus Center at George Mason University
17:15 - 17:35 • Data Science
Propaganda Analysis with NLP: What Can We Possibly Learn from "Fake News?"
By Weifeng Zhong
Senior Research Fellow at Mercatus Center at George Mason University
How severe was the COVID-19 outbreak in China, really? Will Hong Kong protesters face a violent crackdown by the Chinese military? What will be China’s next big moves in the post-COVID era?
The Policy Chang Index (PCI), an open-source machine learning project, tackles policy questions like these by analyzing authoritarian regimes’ propaganda. Applying recent advances in NLP, the project has developed several algorithms to monitor the People’s Daily — China’s flagship official newspaper — and make inferences about the Chinese government’s policy intentions.
Similar PCI algorithms are also under active development for other authoritarian regimes with media control. For more details about the PCI project, please see: https://policychangeindex.org/
Networking Activity brought to you by allwomen.tech
17:15 - 17:55 • Future Society
Networking Activity brought to you by allwomen.tech
This networking session is facilitated by allwomen – the first academy of Data Science, UX – UI Design and Product Management courses created for women, by women.
Fireside chat with John Graham-Cumming
With John Graham-Cumming, Monty MunfordCTO at Cloudflare
17:40 - 17:55 • Data Economy
Fireside chat with John Graham-Cumming
With John Graham-Cumming
CTO at Cloudflare, With Monty Munford
Co-Founder at BlockSpeak
Q&A on the Internet, speed and security
How to Stop Worrying and Start Monitoring Your Models
By Emeli DralCTO and Co-founder at Evidently AI
17:40 - 17:55 • Data Science
How to Stop Worrying and Start Monitoring Your Models
By Emeli Dral
CTO and Co-founder at Evidently AI
When the model is finally deployed, the real work often only starts. You have to keep track of how the model is doing in the wild and ensure it delivers on its purpose. Monitoring is a critical part of a machine learning lifecycle. However, in practice, it is often neglected.
In this talk, we will explore:
- Why machine learning monitoring requires a different approach than traditional software;
- Which specific metrics you should monitor for depending on your use case;
- How to define your monitoring from scratch if your resources are limited.
Monopolies, not mind-control
By Cory DoctorowAuthor at Craphound.com
18:00 - 18:30 • Main Stage
Monopolies, not mind-control
By Cory Doctorow
Author at Craphound.com
Software has eaten the world and crapped out a dystopia: a place where Abbot Labs uses copyright claims to stop people with diabetes from taking control over their insulin dispensing and where BMW is providing seat-heaters as an an-over-the-air upgrade that you have to pay for by the month. Companies have tried this stuff since the year dot, but Thomas Edison couldn’t send a patent enforcer to your house to make sure you honored the license agreement on your cylinder by only playing it on an Edison phonograph. Today, digital systems offer perfect enforcement for the pettiest, greediest grifts imaginable.
We are living through an unparalleled moment of conspiratorialism, supercharged by tech, but correlation is not causation.
Tech is among the most visible indicators of a tendency toward oligarchy in our world, but the tendency is not technological in nature: the same abuses are present in every industry, from professional wrestling to fracking.
These concentrated industries are actual conspiracies: an industry with only a handful of major firms, regulated by insiders, is a conspiracy, and these conspiracies kill: the opioid epidemic, enabled by a well-funded conspiracy to suborn health regulators with falsified research, has a greater US body-count than the Vietnam war. The explanatory power of conspiracies in the world isn’t the result of tech’s incredible ability to persuade at a mass scale — rather, conspiracism thrives because so many of the sources of our collective trauma *are* conspiracies, and tech helps traumatized conspiracists locate and coordinate with each other.
Monopolies, not mind-control
By Cory DoctorowAuthor at Craphound.com
18:00 - 18:30 • Data Economy
Monopolies, not mind-control
By Cory Doctorow
Author at Craphound.com
Software has eaten the world and crapped out a dystopia: a place where Abbot Labs uses copyright claims to stop people with diabetes from taking control over their insulin dispensing and where BMW is providing seat-heaters as an an-over-the-air upgrade that you have to pay for by the month. Companies have tried this stuff since the year dot, but Thomas Edison couldn’t send a patent enforcer to your house to make sure you honored the license agreement on your cylinder by only playing it on an Edison phonograph. Today, digital systems offer perfect enforcement for the pettiest, greediest grifts imaginable.
We are living through an unparalleled moment of conspiratorialism, supercharged by tech, but correlation is not causation.
Tech is among the most visible indicators of a tendency toward oligarchy in our world, but the tendency is not technological in nature: the same abuses are present in every industry, from professional wrestling to fracking.
These concentrated industries are actual conspiracies: an industry with only a handful of major firms, regulated by insiders, is a conspiracy, and these conspiracies kill: the opioid epidemic, enabled by a well-funded conspiracy to suborn health regulators with falsified research, has a greater US body-count than the Vietnam war. The explanatory power of conspiracies in the world isn’t the result of tech’s incredible ability to persuade at a mass scale — rather, conspiracism thrives because so many of the sources of our collective trauma *are* conspiracies, and tech helps traumatized conspiracists locate and coordinate with each other.
Monopolies, not mind-control
By Cory DoctorowAuthor at Craphound.com
18:00 - 18:30 • Data Science
Monopolies, not mind-control
By Cory Doctorow
Author at Craphound.com
Software has eaten the world and crapped out a dystopia: a place where Abbot Labs uses copyright claims to stop people with diabetes from taking control over their insulin dispensing and where BMW is providing seat-heaters as an an-over-the-air upgrade that you have to pay for by the month. Companies have tried this stuff since the year dot, but Thomas Edison couldn’t send a patent enforcer to your house to make sure you honored the license agreement on your cylinder by only playing it on an Edison phonograph. Today, digital systems offer perfect enforcement for the pettiest, greediest grifts imaginable.
We are living through an unparalleled moment of conspiratorialism, supercharged by tech, but correlation is not causation.
Tech is among the most visible indicators of a tendency toward oligarchy in our world, but the tendency is not technological in nature: the same abuses are present in every industry, from professional wrestling to fracking.
These concentrated industries are actual conspiracies: an industry with only a handful of major firms, regulated by insiders, is a conspiracy, and these conspiracies kill: the opioid epidemic, enabled by a well-funded conspiracy to suborn health regulators with falsified research, has a greater US body-count than the Vietnam war. The explanatory power of conspiracies in the world isn’t the result of tech’s incredible ability to persuade at a mass scale — rather, conspiracism thrives because so many of the sources of our collective trauma *are* conspiracies, and tech helps traumatized conspiracists locate and coordinate with each other.
Monopolies, not mind-control
By Cory DoctorowAuthor at Craphound.com
18:00 - 18:30 • Future Society
Monopolies, not mind-control
By Cory Doctorow
Author at Craphound.com
Software has eaten the world and crapped out a dystopia: a place where Abbot Labs uses copyright claims to stop people with diabetes from taking control over their insulin dispensing and where BMW is providing seat-heaters as an an-over-the-air upgrade that you have to pay for by the month. Companies have tried this stuff since the year dot, but Thomas Edison couldn’t send a patent enforcer to your house to make sure you honored the license agreement on your cylinder by only playing it on an Edison phonograph. Today, digital systems offer perfect enforcement for the pettiest, greediest grifts imaginable.
We are living through an unparalleled moment of conspiratorialism, supercharged by tech, but correlation is not causation.
Tech is among the most visible indicators of a tendency toward oligarchy in our world, but the tendency is not technological in nature: the same abuses are present in every industry, from professional wrestling to fracking.
These concentrated industries are actual conspiracies: an industry with only a handful of major firms, regulated by insiders, is a conspiracy, and these conspiracies kill: the opioid epidemic, enabled by a well-funded conspiracy to suborn health regulators with falsified research, has a greater US body-count than the Vietnam war. The explanatory power of conspiracies in the world isn’t the result of tech’s incredible ability to persuade at a mass scale — rather, conspiracism thrives because so many of the sources of our collective trauma *are* conspiracies, and tech helps traumatized conspiracists locate and coordinate with each other.
Networking activities
18:35 - 18:55 • Main Stage
Networking activities
Networking activities
18:35 - 18:55 • Data Economy
Networking activities
Networking activities
18:35 - 18:55 • Data Science
Networking activities
Networking activities
18:35 - 18:55 • Future Society
Networking activities
Opening the pandora's box of learning to code
By Adam JanesJavaScript Instructor at Zoom Code Camp
18:35 - 20:30 • Workshops
Opening the pandora's box of learning to code
By Adam Janes
JavaScript Instructor at Zoom Code Camp
One of the biggest obstacles for learning to code is the tirade of jargon that you’ll come across within the first few hours. Adam Janes will provide you with a map of the terrain, talking about what the web is all about, and demystify what lots of these concepts are talking about.
Speak-Up Culture in Innovation
By Erika CheungExecutive Director at Ethics in Entrepreneurship
19:00 - 19:20 • Main Stage
Speak-Up Culture in Innovation
By Erika Cheung
Executive Director at Ethics in Entrepreneurship
The rate of innovation has been quickly growing over the past decades and will likely continue to do so. For technologies where the implications of it are sometimes not well understood until their deployed, what are systems of checks and balances from preventing innovations from becoming a determent to society? Will explore the ways in which fostering speak-up culture and systems to support whistleblowers is one of the simplest ways to create an alert system to technology veering into a negative direction.
Creating Value with Machine Learning in Manufacturing, Production, and the Process Industry
By Ralf KlinkenbergFounder & Head of Research at RapidMiner
19:00 - 19:20 • Data Economy
Creating Value with Machine Learning in Manufacturing, Production, and the Process Industry
By Ralf Klinkenberg
Founder & Head of Research at RapidMiner
This presentation first provides an overview of machine learning applications in the industry creating value in different phases of the production process and product life cycle and then a deep dive into two of these use cases:
(1) predictive maintenance, i.e. predicting and preventing machine failures before they happen, and
(2) (semi-)automated prediction of assembly plan for new 3D product designs.
From cars and trucks to washers and dryers: Manufacturer need to deliver more and more products and product variations in ever shorter cycle to be competitive, which requires more efficient and more cost-effective product design and assembly planning processes.
This presentation shows how to automatically predict assembly times and assembly plans for new 3D product designs using machine learning, thereby accelerating the product design and assembly process, lowering costs, and increasing profit margins. While standard machine learning methods only process linear input vectors and data tables and deliver only atomic values, i.e. categories in the case of classification and numbers in the case of regression, here we are faced with complex hierarchical 3D product designs with hundreds or thousands of parts, enriched with textual data, as input data and have to deliver a sequence of assembly steps as an output. The presentation shows how to solve this complex task efficiently and accurately with machine learning.
The solution approach was validated predicting assembly plans for truck engine components at Daimler Trucks and washer and dryer components at Miele. The solution enables companies to be more agile, bring more products to market faster, reduce costs, and increase profit margins.
Most of today’s machine learning tasks deal with predicting atomic values. In Classification, for each object a class is predicted, i.e. a category assigned. In Regression, for each object, a numerical value is predicted. Both are simple predictions in the sense that they only predict a single value per object. Most machine learning algorithms are also simple in the sense that they can only handle simple linear feature vectors. We propose a complex problem: Given complex hierarchical 3D designs of new products, predict assembly times, and automatically generate assembly plans, i.e. sequences of assembly steps to manufacture these products.
Our solution was validated by predicting assembly plans for new truck engine components at Daimler Trucks. In this deep dive, we describe how to use machine learning to automatically predict assembly times and assembly plans for new complex product designs. This enables carmakers and other manufacturers to accelerate the product design and assembly planning process, increasing the agility of the company and reducing the initial costs for new products.
Panel: Cybersecurity
With Claudia Pohlink, Alexander Szanto, Avi Shaked, Hartej SawhneyHead of Artificial Intelligence at T-Labs - Telekom Innovation Laboratories
19:00 - 19:40 • Data Science
Panel: Cybersecurity
With Claudia Pohlink
Head of Artificial Intelligence at T-Labs - Telekom Innovation Laboratories, With Alexander Szanto
Research Fellow at Brandenburg Institute for Society and Security (BIGS), With Avi Shaked
Systems Security Engineering Lead at IAI Cyber Division, With Hartej Sawhney
Principal at Zokyo / Qredo
Cybersecurity plays a vital role for businesses, governments, and citizens in protecting privacy, freedoms, rights and financial safety – the topics that are becoming more prominent than ever this year. While our everyday activities are directly connected to online infrastructures, data breaches and attacks are becoming more and more frequent.
During this Panel, our experts will discuss the current state of cybersecurity, industry’s hottest trends, and, of course, technologies that are set to play the main role in data protection.
A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are
19:00 - 19:20 • Future Society
A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are
The Age of Intelligent Machines is upon us, and Flynn examines the immense impact intelligent technologies will have on human rights and humanity, and how we can thrive as we move into our brave new world.
The proliferation of fast-moving technologies have the potential to transform how we work, our health and well-being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness.
In this talk based on her book, Flynn shares her insights on AI’s potential, inviting a diverse group of voices to participate in designing our intelligent machines and to instill moral courage, ethics, and humanity into our technology. Ultimately, A Human Algorithm is a clarion call for building a more humane future and moving conscientiously into a new frontier of our own design.
Data, people and robots - avoiding dystopia
By Greg AmeyugoHead of Division - AI and Interactive Systems at CEA
19:25 - 19:40 • Main Stage
Data, people and robots - avoiding dystopia
By Greg Ameyugo
Head of Division - AI and Interactive Systems at CEA
Advances in AI continue to open new opportunities for automation. So far, we have not reached the point of disruption, where a large workforce is not completely replaced by automated elements in a short space of time. In the long run, this makes for a brighter future. In the short term, however, history shows that these unbalances can lead to dystopias… and revolution. An alternative paradigm based on human-AI collaboration could soften the way towards a better future…
Using Data to drive Urban Mobility
By Shreya AgrawalData Scientist at FREE NOW
19:25 - 19:40 • Data Economy
Using Data to drive Urban Mobility
By Shreya Agrawal
Data Scientist at FREE NOW
The last decade has seen a rapid change in urban mobility trends. Traditional taxi companies are more and more moving towards providing integrated mobility platforms making it possible for city dwellers to cross towns ever more efficiently and safely. Today, urban mobility also includes newer forms of mobility like scooters and e-bikes which has exposed us to new technologies and also new problems. In this session, I will be talking about the use of data in improving conventional businesses, focussing on two discrete use-case – Surge Pricing in taxis and Demand Prediction in scooters.
Surge Pricing – Most people must have experienced taxi prices rising during high demand periods and in some unique cases, the prices rose to as high as 5 times by some urban mobility platforms. How and why does this happen? To answer this question, we will discuss geospatial data, demand and supply optimisation using data-driven solutions and the pros and cons of surge pricing.
Demand Prediction – The Last mile solutions such as scooters and e-bikes are increasingly becoming popular. And one of the key revenue influencer is the problem of demand prediction. In this we will discuss, how demand prediction in scooters is different from taxis, using time series prediction and regression models to predict demand, help city managers slowly move from intuition to a data-based solution and the challenges involved in using data in traditionally non-data environment.
The Next Tech Frontiers
By André Loesekrug-PietriDirector at Joint European Disruptive Initiative (J.E.D.I.)
19:45 - 20:05 • Main Stage
The Next Tech Frontiers
By André Loesekrug-Pietri
Director at Joint European Disruptive Initiative (J.E.D.I.)
Networking
19:45 - 20:05 • Data Economy
Networking
PySyft – an Open-Source Framework for Privacy-Preserving Distributed Machine Learning
By Daniele GadlerData Scientist at Südtiroler Informatik AG
19:45 - 20:05 • Data Science
PySyft – an Open-Source Framework for Privacy-Preserving Distributed Machine Learning
By Daniele Gadler
Data Scientist at Südtiroler Informatik AG
PySyft is an open-source framework that enables secured, private computations in deep learning, by combining federated learning and differential privacy in a single programming model integrated into different deep learning frameworks such as PyTorch, Keras or TensorFlow. In this talk, Daniele will present the main functionalities of PySyft and introduce the concept of federated learning, showcasing two main use cases on which he has personally worked on at the National Research Council of Pisa within his Master’s Thesis:
1) PySyft for IoT applications – Distributed training of Deep Neural Networks on Raspberry PIs
2) PySyft for research – Reducing the data consumption of federated learning in a mobile scenario.
Combat loneliness: How can Hackathons help revolutionize our society
With Bente AckingFounder & CEO at TheHeroLoop
20:10 - 20:30 • Main Stage
Combat loneliness: How can Hackathons help revolutionize our society
With Bente Acking
Founder & CEO at TheHeroLoop
Combat loneliness: How hackathons can help revolutionize our society.
Hackathons can be a great way for developers to leverage their skills to build solutions that have an immediate impact on society.
Joining a coding challenge can help you materialize your ideas. Bente Acking, founder of TheHeroLoop will tell you how. TheHeroloop is the winner of the 2020 Call for Code Regional Award in Europe. A yearly challenge for developers and problem solvers to build solutions that fight back against the most pressing issues of our time.
No surprise, the theme for this year was focused on the Covid-19 pandemic, looking at Remote Learning, Crisis Communication, and Community Building.
In this Q&A session, Bente will tell you more about her journey from idea to
deployment, giving you some tips on how to start bringing your own ideas to life.
Networking
20:10 - 20:30 • Data Economy
Networking
Personal Genome Sequencing: Unlocking the big data within ourselves
By Dennis GrishinCo-Founder at Nebula Genomics
20:10 - 20:30 • Data Science
Personal Genome Sequencing: Unlocking the big data within ourselves
By Dennis Grishin
Co-Founder at Nebula Genomics
Personal Genome Sequencing: Unlocking the big data within ourselves.
Actionable Hunger data for impact
By João Paulo Apolinario PassosProduct Lead at World Data Lab
20:10 - 20:30 • Future Society
Actionable Hunger data for impact
By João Paulo Apolinario Passos
Product Lead at World Data Lab
Hunger is unfortunately not a sore from the past. It is still present today and is a complex subject, the Sustainable Development Goals of the UN aim to provide actionable targets for countries to fight hunger. However, keeping track of this data has not been easy. The World Hunger Clock tries to tackle the challenge of showcasing 3 different hunger data metrics in an easy to use and actionable tool.
Moderation: Stewart Rogers
DAY 2: Nov 19 • Main Stage
Stewart Rogers
Managing Editor & Editor-in-Chief at Grit Daily and Badass Times
Moderation: Ari Kamlani
DAY 2: Nov 19 • Data Economy
Ari Kamlani
Principal Data Scientist at ThoughtWorks (most recent), currently Independent Consultant
Moderation: Steve Tattum
DAY 2: Nov 19 • Data Science
Steve Tattum
Research Assistant at polypoly
Moderation: Idil Serifoglu
DAY 2: Nov 19 • Future Society
Idil Serifoglu
Creative Producer at betahausX
Second Day Kick-Off
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
10:00 - 10:01 • Main Stage
Second Day Kick-Off
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
Second Day Kick-Off
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
10:00 - 10:01 • Data Economy
Second Day Kick-Off
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
Second Day Kick-Off
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
10:00 - 10:01 • Data Science
Second Day Kick-Off
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
Second Day Kick-Off
By Elena PoughiaFounder & CEO, MD at Datanatives, Dataconomy
10:00 - 10:01 • Future Society
Second Day Kick-Off
By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-DandCEO, Lighthouse3 and Founder at Women in AI Ethics
10:01 - 10:25 • Main Stage
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-Dand
CEO, Lighthouse3 and Founder at Women in AI Ethics
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-DandCEO, Lighthouse3 and Founder at Women in AI Ethics
10:01 - 10:25 • Data Economy
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-Dand
CEO, Lighthouse3 and Founder at Women in AI Ethics
AI has a diversity and ethics crisis. The proportion of AI papers authored by women has not improved since the 1990s and less than 20% of speakers at leading AI conferences are women. Women account for less than 15% of AI research staff at many tech giants and barely 5% of their workforce is Black. More women are dropping out of the workforce and submitting fewer research papers because of additional pressures due to the pandemic. In this powerful session, we’ll discuss how lack of diversity contributes to bias in AI and why inclusion of marginalized communities is critical for the future of AI.
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-DandCEO, Lighthouse3 and Founder at Women in AI Ethics
10:01 - 10:25 • Data Science
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-Dand
CEO, Lighthouse3 and Founder at Women in AI Ethics
AI has a diversity and ethics crisis. The proportion of AI papers authored by women has not improved since the 1990s and less than 20% of speakers at leading AI conferences are women. Women account for less than 15% of AI research staff at many tech giants and barely 5% of their workforce is Black. More women are dropping out of the workforce and submitting fewer research papers because of additional pressures due to the pandemic. In this powerful session, we’ll discuss how lack of diversity contributes to bias in AI and why inclusion of marginalized communities is critical for the future of AI.
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-DandCEO, Lighthouse3 and Founder at Women in AI Ethics
10:01 - 10:25 • Future Society
The Diversity and Ethics Crisis in AI; from unconscious bias to conscious coding
By Mia Shah-Dand
CEO, Lighthouse3 and Founder at Women in AI Ethics
AI has a diversity and ethics crisis. The proportion of AI papers authored by women has not improved since the 1990s and less than 20% of speakers at leading AI conferences are women. Women account for less than 15% of AI research staff at many tech giants and barely 5% of their workforce is Black. More women are dropping out of the workforce and submitting fewer research papers because of additional pressures due to the pandemic. In this powerful session, we’ll discuss how lack of diversity contributes to bias in AI and why inclusion of marginalized communities is critical for the future of AI.
Trust in AI: It starts with the data foundation
With Noel Yuhanna, Kip YegoVP, Principal Analyst at Forrester Research
10:23 - 10:48 • IBM
Trust in AI: It starts with the data foundation
With Noel Yuhanna
VP, Principal Analyst at Forrester Research, With Kip Yego
Product Marketing Manager, IBM Cloud Platform at IBM
With Nidhi Bhatgnager.
Successful AI adoption is predicated on building trust with all stakeholders. The starting point is a data management strategy that incorporates security, precision, accountability, and flexibility, with attributes such as data encryption, availability, container recovery, and multi-modal data management. Join this session to hear Noel Yuhanna, VP and Principal Analyst at Forrester, and Nidhi Bhatnagar, Offering Manager, at IBM, discuss why trust in AI starts with a strong data foundation.
Data is a team sport: Designing and delivering customized data experiences
With Rick Vermeer, Dr. Liz PrattMetadata Manager at ING Wholesale Banking Data Management at ING
10:23 - 10:44 • IBM
Data is a team sport: Designing and delivering customized data experiences
With Rick Vermeer
Metadata Manager at ING Wholesale Banking Data Management at ING, With Dr. Liz Pratt
Head of UX Research at IBM AI Applications
Managing massive amounts of data is no small task. It takes teams of data producers and consumers to gather, analyze, and act on your data insights. IBM is developing tools that help you quickly know, trust, and use your data to its fullest potential. But these solutions aren’t created in a vacuum, they’re the product of continuous collaboration. Join us for a session where we’ll explore how we’re working with you to reimagine your data experiences.
It needs to be us! How CivicTech can become the safeguard of ethical data strategies
By Madeline Le BotlanHead of Product at Civocracy
10:28 - 10:40 • Main Stage
It needs to be us! How CivicTech can become the safeguard of ethical data strategies
By Madeline Le Botlan
Head of Product at Civocracy
For several years, a global public talks about the data misuse done by the private sector.
However, if security and protection against marketing seems the focus for data misuse with companies, the misuse of our data from government, can be even more dramatic in terms of freedom. When our interaction with governments and administrations becomes digital, the danger of misconduct with our data arises whether in a commercial, propagandistic or discriminating matter. And in contrast to the private sector, the citizen has no opportunity to not give away their data in the interactions with the administration.
Next to the governments and the civil society, it’s the GovTech/ CivicTech companies that have the obligation to safeguard the ethical conduct with the citizens data and therefore building a strong counterpart to the data misusing tech giants.
Madeline Le Botlan, Head of Product @ Civocracy will outline what a data code of conduct for GovTech/ Civic Tech should look like including Open Data/ Open Algorithm; Ethical data/ ethical algorithm but also the responsibility of CivicTech to educate the public about data, algorithms and what you can and can’t do with it. She will show the route on how to empower the citizens to make usage of their data and educate themselves of future possibilities in the field of civic engagement using the power of digital.
Data Insights for Success
By Vuk PopovicGroup CIO at Argus Data Insights
10:28 - 10:40 • Data Economy
Data Insights for Success
By Vuk Popovic
Group CIO at Argus Data Insights
How can the media related data bring insights on the daily business of one company, or person, and force the right decisions with eventually bringing the work/business to success.
Blockchain Governance
By Joe PetrowskiResearch Analyst at Parity Technologies
10:28 - 10:54 • Data Science
Blockchain Governance
By Joe Petrowski
Research Analyst at Parity Technologies
He will discuss blockchain governance, what it means to have agency in a digital system, and the contributions of Substrate, the blockchain framework, and Polkadot, the interoperable blockchain network.
ICE Breaker!
10:28 - 10:40 • Future Society
ICE Breaker!
Startup Comedy: O.F.F.I.C.E. - The Future of Work(place)
By Christoph SollichThe Pitch Doctor & Startup Comedian at The Pitch Doctor
10:42 - 10:54 • Main Stage
Startup Comedy: O.F.F.I.C.E. - The Future of Work(place)
By Christoph Sollich
The Pitch Doctor & Startup Comedian at The Pitch Doctor
Ever since the first hunter/gatherer said “screw this, I’m opening a consulting business”, knowledge workers have naturally worked from home. We finally change this! With O.F.F.I.C.E., we are creating the first ever dedicated place you go to every day just to work. Sounds crazy? Wait til you hear our pitch!
ICE breaker!
10:42 - 10:54 • Data Economy
ICE breaker!
As big as the ocean: The UN Environmental Programme unifies data to eradicate beach pollution
With Kunal Sawarkar, Dick DardenPrinciple Data Scientist, IBM Data Science and AI Elite at IBM
10:46 - 11:15 • IBM
As big as the ocean: The UN Environmental Programme unifies data to eradicate beach pollution
With Kunal Sawarkar
Principle Data Scientist, IBM Data Science and AI Elite at IBM, With Dick Darden
Engineer IBM Data and AI Expert Labs and Learning North America Government at IBM
With Dr. Anne Bowser.
Marine litter presents an eyesore for beachgoers and doubles as serious threat to the environment. Learn how UNEP worked with the IBM Data Science and AI Elite team to adeptly measure the scale of marine litter, and track reduction efforts powered by IBM Cloud Pak for Data. You’ll also meet Sam, a built by New Zealand’s Soul Machines that brings communities together to solve one of the world’s most pressing environmental problems using a conversational style using IBM Watson Assistant.
Automating the AI Lifecycle
With Jennifer Sukis, Dr. Robin LangerakDirector of Design, AI Transformation at IBM
10:49 - 11:04 • IBM
Automating the AI Lifecycle
With Jennifer Sukis
Director of Design, AI Transformation at IBM, With Dr. Robin Langerak
User Researcher at IBM
Designing an AI means defining the kind of data you’ll need, assessing its quality, anticipating if the model will need to adjust for the holiday season sales, or if age ranges will affect the results…not necessarily everyone’s area of expertise. Watson automates the technical aspects of these processes so you, our users, can focus on the big picture decisions. Join us for a session where you’ll see how anybody can use AutoAI on IBM Watson Studio to build and deploy data science models within minutes.
What Makes or Breaks a Data Engineer?
By Dániel MolnárCo-founder at Pipeline Data Engineering Academy
11:00 - 11:20 • Main Stage
What Makes or Breaks a Data Engineer?
By Dániel Molnár
Co-founder at Pipeline Data Engineering Academy
Some call them research engineers, some machine learning engineers, some BI engineers and some data engineers. Still cloud migrations, Hacker News frontpage darlings and evil APIs can break them. How to become a good one and what makes a good investment to learn in the Dépêche Mode of data technology?
what3words: A voice-first address system
By Clare JonesChief Commercial Officer at what3words
11:00 - 11:20 • Data Economy
what3words: A voice-first address system
By Clare Jones
Chief Commercial Officer at what3words
Clare will introduce what3words and their work to create a global address system designed for human-machine interaction.
Networking Activity
11:00 - 11:20 • Data Science
Networking Activity
The Nature of Information: How we learn from biology to build the new generation platforms.
By Joerg GeierSustainability strategist, Connector, Project director, Partner at NOW Partners at COBIOM
11:00 - 11:20 • Future Society
The Nature of Information: How we learn from biology to build the new generation platforms.
By Joerg Geier
Sustainability strategist, Connector, Project director, Partner at NOW Partners at COBIOM
Our complex times demand determination and collaboration when we want to create a just society and regenerate natural systems. To manage complexity handling and assessing information is of the essence. Nature mastered in 3.8 billion years of evolution to build complex systems in order to manage complex circumstances. These principles of life can be used to create better solutions in our human world: e.g., cooperative economic concepts; social rewards that incentivize the exchange of information instead of protecting individual assets; tools that collect, handle, exchange and multiply information to benefit the whole system. In his talk, Joerg will present why information is the source that drives the evolution of cells, swarms and societies; and how the company COBIOM uses these insights to develop solutions that are efficient, effective, resilient, adaptive, and sustainable by default. The COBIOM platform represents the pinnacle of this work. A swarm of innovators collaborates on the platform which harvests information to drive collaborative digital innovation where everyone benefits from the success of the whole swarm.
Design led AI solutions to supercharge innovation: Experience the AI Design Sprint™ method
With Dr. Sabine Joseph, Mike BrandtEdTech Co-Founder & AI Consultant at Emerald AI
11:00 - 13:05 • Workshops
Design led AI solutions to supercharge innovation: Experience the AI Design Sprint™ method
With Dr. Sabine Joseph
EdTech Co-Founder & AI Consultant at Emerald AI, With Mike Brandt
CEO at 33A
Learn about the benefits data and design have to offer when used in combination and experience the AI Design Sprint method to develop innovative AI solutions.
This interactive workshop is held as AI Design Sprint taster session in collaboration with its inventors Jonas & Mike from the AI Design Firm 33a. You identify business processes, where the application of AI is most promising. For each process, you discover matching AI technologies to drive innovation through automation.
Finally, you develop a working concept for each solution and gain insights on how to take things further towards implementation. Anyone can participate and no prior technical knowledge is required.
Need a better Data Strategy? Apply 5 Steps to increase agility and trust in your data
With David Stodder, Beate Porst, Bharath ChariSenior Director of Research for BI at TDWI Research
11:06 - 11:32 • IBM
Need a better Data Strategy? Apply 5 Steps to increase agility and trust in your data
With David Stodder
Senior Director of Research for BI at TDWI Research, With Beate Porst
Program Director Offering Management at IBM, With Bharath Chari
WW Product Portfolio Marketing Manager, IBM Data Integration and Information Server at IBM
Cloud computing is critical to the flexibility, speed, and cost savings organizations need. But if data management and data integration lags behind, much of the cloud’s potential will be lost. Organizations need to modernize data movement, integration, and governance to shorten the time it takes to realize the operational and cost benefits from the cloud. Join this session to learn how your organization can modernize data integration and governance for multiple cloud platforms and continuing on-premises systems. David Stodder from TDWI, along with Beate Porst from IBM, will discuss key topics such as ‘design once – run anywhere’ principles, governance, data catalogs, and more concepts that are vital to a holistic approach to data integration.
The rhythm of music and science with the MET Orchestra
With Stephanie Mortimore, Seth Dobrin, PhDPrincipal Piccolo at Metropolitan Opera Orchestra
11:17 - 11:31 • IBM
The rhythm of music and science with the MET Orchestra
With Stephanie Mortimore
Principal Piccolo at Metropolitan Opera Orchestra, With Seth Dobrin, PhD
Chief Data Officer (CDO) at IBM
With Dr. Howard Stone and Dr. Manouk Abkarian.
The Metropolitan Opera Orchestra Musicians has teamed up with scientists and engineers from Princeton University and the University of Montpellier for a study on the potential asymptomatic spread of COVID-19 through musical performance. Attend this session to see how scientists and engineers will measure several quantitative and qualitative features of air flow and “droplet spray” created by singers and instrumentalists when they perform in hopes to learn how to reduce risk of virus transmission via aerosols from asymptomatic individuals during orchestral performances and increase safety practices during repetitions between performers.
Panel: The European Union as a Regulatory Superstate: Regulation of the Digital economy, Data protection and GDPR
With Anu Bradford, Alexander Juengling, Sebastien ToupyHenry L. Moses Professor of Law and International Organization at Columbia University
11:25 - 12:20 • Main Stage
Panel: The European Union as a Regulatory Superstate: Regulation of the Digital economy, Data protection and GDPR
With Anu Bradford
Henry L. Moses Professor of Law and International Organization at Columbia University, With Alexander Juengling
Partner at Comfield Legal, With Sebastien Toupy
Head of Startup Relations at TNW
The EU is a superpower that shapes the world’s data privacy, food safety, Climate Change. Join this panel discussion to hear about a phenomenon called the “Brussels Effect” – unilateral power to regulate global markets – and what it means for the digital economy and data protection.
Networking Activity with SIBB
11:25 - 12:20 • Data Economy
Networking Activity with SIBB
Join the networking session powered by SIBB – the digital business association of Berlin-Brandenburg that connects players in the industry and represents their interests in society, politics, business.
Putting your Machine Learning on Autopilot
By Antje BarthDeveloper Advocate, AI and Machine Learning at Amazon Web Services
11:25 - 11:50 • Data Science
Putting your Machine Learning on Autopilot
By Antje Barth
Developer Advocate, AI and Machine Learning at Amazon Web Services
A typical machine learning workflow consists of many steps including data analysis, feature engineering, model training and model tuning. What if our machine learning platform could perform these tasks for us and generate high-quality model candidates ready for review and deployment? In this session, I will discuss the concept of Automated Machine Learning (AutoML) and how the latest advances in AutoML allow you to put your machine learning models into autopilot mode while maintaining full visibility and control. I will demonstrate AutoML using Amazon SageMaker Autopilot, a fully managed AutoML service offered by AWS
Using Art to democratize AI
By Kirell BenziHead of Research at ekino
11:25 - 11:50 • Future Society
Using Art to democratize AI
By Kirell Benzi
Head of Research at ekino
How The Weather Channel Built a COVID-19 Data Lake in a Week
With Travis Smith, Torsten Steinbachhief Architect, Consumer Products at The Weather Company
11:33 - 11:52 • IBM
How The Weather Channel Built a COVID-19 Data Lake in a Week
With Travis Smith
hief Architect, Consumer Products at The Weather Company, With Torsten Steinbach
Lead Architect Cloud Data Lake at IBM
Join us to hear how the Weather Channel partnered with the IBM public cloud to rapidly build a data lake to feed detailed coronavirus tracking for consumers. In the session, we will review how the teams architected the data lake to quickly onboard new and diverse data sets from multiple sources, automate daily collection pipelines, source and radically minimize resource and operational costs by using serverless and full ops automation.
AutoAI: The trusted brain behind faster and smarter machine learning
11:34 - 11:57 • IBM
AutoAI: The trusted brain behind faster and smarter machine learning
With Christopher Penn and Priya Krishnan.
As organizations hurry to enhance and modernize business with AI, one thing is clear: simply acquiring more knowledge is no longer sufficient. Your business needs the ability to identify trends and make predictions, trust AI models, and speed experimentation time from weeks and months to minutes and hours. AutoAI is helping companies speed model development by up to 80 percent, enabling data scientists to make higher-value contributions. How well does AutoAI live up to its promise? Join Christopher Penn, Co-founder and Chief Data Scientist at TrustInsights.ai for an expert’s view on how you can automate the AI lifecycle for better outcomes.
Score a Touchdown with Watson Fantasie Insights
With Noah Syken, Aaron BaughmanVice President, Sports and Entertainment Partnerships at IBM
11:54 - 12:07 • IBM
Score a Touchdown with Watson Fantasie Insights
With Noah Syken
Vice President, Sports and Entertainment Partnerships at IBM, With Aaron Baughman
Distinguished Engineer - AI and Emerging Technology Leader at IBM
It’s that time of year again – football season! To celebrate the start of football season and kick off our next series of IBM Data & AI Forum, we’d love to have you join us for a one-of-a-kind virtual event featuring Watson Fantasy Insights, which is the AI and NLP technology helping Fantasy Football players win their matchup every week and enhancing the fan-less experience for the US Open. Join us to find out how Watson Fantasy Insights helps you make important decisions, from which running back and QB to start each week for Fantasy Football to assessing business value and making tradeoffs for your organization.
Target-aspect-based sentiment analysis (TABSA): an overview of the task, its challenges and the state of the art
By Núria Bertomeu CastellóDirector of Natural Language Processing at YUKKA Lab AG
11:55 - 12:20 • Data Science
Target-aspect-based sentiment analysis (TABSA): an overview of the task, its challenges and the state of the art
By Núria Bertomeu Castelló
Director of Natural Language Processing at YUKKA Lab AG
The goal of target-aspect-based sentiment analysis is to detect the sentiment in a text for particular entities and aspects of those. This is a very challenging task, especially because a single sentence can express different sentiments for different entities or different aspects of the same entity, like in the following examples: 1) The food is delicious, but the service is slow. 2) Pershing Square posts poor performance amid Herbalife surge. Compared to plain sentiment analysis, this task requires a far deeper understanding of the relations between the entities/aspects expressed in the text. Recent research has proven different types of neural networks with attention mechanisms to be very useful for this task, delivering state-of-the-art results. In this talk, Núria will give an overview about different ways of tackling this task and will quickly review most recent approaches representing the state-of-the-art.
Mindsets for Creativity & AI
11:55 - 12:20 • Future Society
Mindsets for Creativity & AI
What happens to creativity when machines can mimic human work? This talk addresses the missed opportunities for machine and human intelligence to interact, and reframes misconceptions about the comparisons between the two.
Combat loneliness: how hackathons can help revolutionize our society
With Bente Acking, Stephanie CleijpoolFounder & CEO at TheHeroLoop
12:00 - 12:18 • IBM
Combat loneliness: how hackathons can help revolutionize our society
With Bente Acking
Founder & CEO at TheHeroLoop, With Stephanie Cleijpool
Developer Relations Lead EMEA at IBM
‘Hackathons can be a great way for developer to leverage their skills to build solutions that have an immediate impact on society. Joining a coding challenge can help you materialize your ideas. Bente Acking, founder of TheHeroLoop will tell you how.
TheHeroloop is winner of the 2020 Call for Code Regional Award in Europe. A yearly challenge for developers and problem solvers to build solutions that fight back against the most pressing issues of our time. No surprise, the theme for this year was focused on the Covid-19 pandemic, looking at Remote Learning, Crisis Communication and Community Building.
In this Q&A session Bente will tell you more about her journey from idea to deployment, giving you some tips on how to start bringing your own ideas to live.
Building AI Skills: A How-To Guide
By Ana EcheverriData and AI Expert Labs Learning Leader at IBM
12:09 - 12:35 • IBM
Building AI Skills: A How-To Guide
By Ana Echeverri
Data and AI Expert Labs Learning Leader at IBM
Everyone talks about the importance of developing AI skills. But what does this really mean? And how do you get started? AI skills are a collection of competencies that go from understanding AI capabilities to be able to identify opportunities for new AI in your organization, to having the ability to use sophisticated specialized technologies with focused outcomes, to having the capacity to build your own AI models through deep technical programming skills, and a solid mathematical foundation. In this session, you will have the opportunity to hear from Ana Echeverri, AI Skills Lead at IBM, as she provides a roadmap of skills to develop based on your own interests and professional needs around AI.
Inside the Science Behind Your Biggest Decisions
12:20 - 12:47 • IBM
Inside the Science Behind Your Biggest Decisions
With Carlvin Paris and Summeet Parashar.
High growth organizations are accelerating time to value using AI to automate critical business decisions. A solid data and AI platform can boost AI adoption by helping to address challenges like skills shortage and access to critical data sources for richer insights. In this session, we will explore how companies are using IBM Watson Studio Premium for Cloud Pak for Data to derive actionable insights by combining predictive and prescriptive analytics. Join us for a fireside chat with Llamasoft, a company that delivers the science behind supply chain’s biggest decisions. Learn how 750 of the world’s leading supply chains leverage this AI-enabled supply chain platform to explore options and assess risks and trade-offs to accelerate decisions.
Fireside Chat: Privacy Concerns Around eHealth and the e-Patient
With Roxana Nasoi, Melanie BoylanCCO at Aimedis B.V.
12:25 - 12:40 • Main Stage
Fireside Chat: Privacy Concerns Around eHealth and the e-Patient
With Roxana Nasoi
CCO at Aimedis B.V., With Melanie Boylan
Journalist at Irish Tech News
The current state of ehealth is now more important than ever in the wake of pandemics and the failure of the global healthcare system. From ehealth apps, wellbeing, contact tracing, to fully digitalized solutions for hospitals, healthcare professionals, and patients – they all come with downsides and dangers. the only way to pave the future of ehealth is by implementing privacy by design into the very core of the tools and platforms we’re all developing.
Global Burden of Disease Study: A data-driven comparative health assessment as a prerequisite for global health equity
By Tomislav MestrovicCollaborator / Assistant Professor at Institute for Health Metrics and Evaluation (Washington, US); University North (Croatia); Josip Juraj Strossmayer University of Osijek (Croatia)
12:25 - 12:40 • Data Economy
Global Burden of Disease Study: A data-driven comparative health assessment as a prerequisite for global health equity
By Tomislav Mestrovic
Collaborator / Assistant Professor at Institute for Health Metrics and Evaluation (Washington, US); University North (Croatia); Josip Juraj Strossmayer University of Osijek (Croatia)
Global Burden of Disease (GBD) Study 2019 was recently published in the prestigious journal Lancet just two weeks ago, which continues this well-known data-driven quest to describe global health in order to understand the changing health challenges facing people across the world.
This endeavor incorporates data from 281 586 sources and provides more than 3.5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue.
Basically, GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. As a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses, the GBD study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges.
The lecture will describe how the data is approached and used, and what are the key determinants addressed by the research.
Twitter analysis of the current political situation in Belarus
By Daria MinksyEntrepreneur, publisher and data explorer at AllWomen
12:25 - 12:40 • Data Science
Twitter analysis of the current political situation in Belarus
By Daria Minksy
Entrepreneur, publisher and data explorer at AllWomen
In Belarus, peaceful protesters are facing unprecedented repressions after Alexander Lukashenko declared victory in presidential elections for the 6th time. Daria’s data science goals are to measure the real loyalty of Twitter users towards Lukashenko vs. opposition, track the reaction of the international community, and to identify decision-makers, along with trends and hashtags.
Networking Activity brought to you by Enpact
12:25 - 12:40 • Future Society
Networking Activity brought to you by Enpact
Networking Activity with enpact, the Empowering Entrepreneurship Initiative that supports young, innovative businesses with a curated combination of mentoring, workshops and network building.
Infuse Your Talent Strategy with AI that Ignites Your Workforce
With Elizebeth Varghese, Andy JankowskiPartner & Norht American Market Leader: Talent & Tranformation Innovation Unit IBM Partner, Talent & Transformation at IBM
12:37 - 13:02 • IBM
Infuse Your Talent Strategy with AI that Ignites Your Workforce
With Elizebeth Varghese
Partner & Norht American Market Leader: Talent & Tranformation Innovation Unit IBM Partner, Talent & Transformation at IBM, With Andy Jankowski
Partner, Talent & Transformation at IBM
Leading organizations understand the impact of AI on business models, workforce demographics, and the changing experiences expected by customers and employees alike – and today, AI has become exceedingly accessible for the HR profession. AI is enabling organizations to solve pervasive talent issues such as attracting and developing new skills, improving employee experiences, streamlining communications, providing analytical decision support, and making more efficient use of HR budgets. With some upskilling of the workforce, ethical operating guidelines, and a healthy dose of technical curiosity, the HR function is now positioned to truly drive strategic advantage while better supporting the employees we rely on to put the strategy into action. AI can be applied in almost any area of HR and in this session, we will share use cases for AI across the employee journey – along with the growing importance of AI in times of crisis.
Networking Lunch with Café Lust from Groningen
12:45 - 13:15 • Main Stage
Networking Lunch with Café Lust from Groningen
Café Lust is a small and cozy bar- café in the heart of Groningen in the Netherlands. They sell vegan and vegetarian food and drinks in a familiar and natural surrounding.
Project Debater – From Competitive Debate to Business Applications
With Yoav Katz, Matthias BiniokIBM Debating Technologies at IBM
12:49 - 13:01 • IBM
Project Debater – From Competitive Debate to Business Applications
With Yoav Katz
IBM Debating Technologies at IBM, With Matthias Biniok
Lead AI Architect at IBM
Project Debater is the first AI system that can meaningfullydebate a human opponent. The system, an IBM Grand Challenge, is designed to build coherent, convincing speeches on its own, as well as provide rebuttals to the opponent’s main arguments. In February 2019, Project Debater competed against Harish Natarajan, who holds the world record for mostdebate victories, in an event held in San Francisco that wasbroadcasted live world-wide. In this talk I will tell the story of Project Debater, from conception to a climatic final event, describe its underlying technology, and discuss how it can be leveraged for advancing decision making and critical thinking.
L’Oreal’s finance transformation: achieving a harmonized, centralized, dynamic view of a global data
With Laurent Mesnier, Rachel SuFP&A Information Systems Manager at L'Oréal
13:03 - 13:22 • IBM
L’Oreal’s finance transformation: achieving a harmonized, centralized, dynamic view of a global data
With Laurent Mesnier
FP&A Information Systems Manager at L'Oréal, With Rachel Su
Offering Manager at IBM Cognos Analytics
With 2,500+ users worldwide and hundreds of thousands of complex reports, L’Oreal needed one centralized platform for planning and analytics. Leveraging the power of IBM Planning Analytics and Cognos, L’Oreal transformed the office of finance with integrated planning, reporting, and analysis. Join L’Oreal’s Laurent Mesnier in a discussion with IBM’s Rachel Su about how IBM analytics solutions help L’Oreal unify their complex data and analytics to help drive faster, more confident business decisions.
Interview with CEO and Author Katie King
With Katie King, Kim DressendörferBoard Advisor | Author | Management Consultant | Keynote speaker on AI at AI in Business
13:04 - 13:52 • IBM
Interview with CEO and Author Katie King
With Katie King
Board Advisor | Author | Management Consultant | Keynote speaker on AI at AI in Business, With Kim Dressendörfer
Technical Specialist AI, Data & Watson Platform at IBM
Katie King has an extraordinary career, she started in a non technical role and found her way up to be now a member of the All-Party Parliamentary Group Task Force in UK on Artificial Intelligence and a book author for the book “Using Artificial Intelligence in Marketing“.
Hacking the Hackathon! A panel discussion on the importance of Hackathons as a form of Innovation during the COVID-19 crisis
With Michael Ionita, Urska Jez, Jesus del ValleAuthor of No-Code, Blockhain YouTube Channel & Board Member at Austrian Startups
13:20 - 13:35 • Main Stage
Hacking the Hackathon! A panel discussion on the importance of Hackathons as a form of Innovation during the COVID-19 crisis
With Michael Ionita
Author of No-Code, Blockhain YouTube Channel & Board Member at Austrian Startups, With Urska Jez
Founder & CEO at Transformation Lighthouse d.o.o., With Jesus del Valle
Pharma R&D, Head Open Innovation Stranger Things at Bayer AG
Deep dive into all the benefits hackathons have – for individuals and companies.
The panel will include a short presentation from the three winners of the DN Unlimited Hackathon Winners.
PANEL: The truth about AI
With Denis Rothman, Jose Esteves, Joanna Kirk, Ayse Elvan AydemirAI Author, Developer, Instructor and Consultant at Denis Rothman
13:20 - 14:00 • Data Economy
PANEL: The truth about AI
With Denis Rothman
AI Author, Developer, Instructor and Consultant at Denis Rothman, With Jose Esteves
Associate Dean for MBA & TECHMBA Programs at IE University, With Joanna Kirk
Founder / co-founder at JKPR / Startup Sesame, With Ayse Elvan Aydemir
Chief Data Scientist at Amplify Analytix
AI is not science fiction anymore, it is a significant part of our lives – we just don’t necessarily recognize its presence. Thanks to AI, our work can be more efficient, we can advance faster in medical research, enhance creative tasks, improve decision making, and more.
On the other hand, bias, data privacy issues, and the prevalence of commercial interest are some of the major problems our society needs to resolve to use this technology for good.
What will happen if the quest for strong AI succeeds and an AI system becomes better than humans?
Predict who lives or dies on the Titanic - without a single line of code
By Lorenz LehmannCTO at Health Care Systems GmbH
13:20 - 13:40 • Data Science
Predict who lives or dies on the Titanic - without a single line of code
By Lorenz Lehmann
CTO at Health Care Systems GmbH
Machine Learning, Deep Learning, and AI will shape business decisions and operations in the near future.
With modern, open-source tools like KNIME also non-developers can use the power of AI to build custom models and run their own predictions.
In this session, it will be demonstrated how anybody can predict who lives and dies on the Titanic without writing a single line of code.
Biostory - Rethinking biometric data through speculative design
By Genefer BaxterDesigner at IMRSV Arts
13:20 - 13:35 • Future Society
Biostory - Rethinking biometric data through speculative design
By Genefer Baxter
Designer at IMRSV Arts
Speculative design describes methods that propose alternative visions for the future. It is “critical design” which questions and critiques the cultural, social and ethical implications of emerging technologies and systems. This is done through the creation of prototypes, scenarios, demos, or immersive experiences, to elicit opinions and stimulate discourse about preferable futures.In 2019, Genefer was accepted to an artist residency program with the University City Science Center in Philadelphia to create such a project. Alongside Marco Locatelli, she worked with biotech company Integral Molecular in what they called the BioArt Residency program. This program allows artists to explore the realm of biotechnology. Here is where the project “Biostory” was conceived. Biostory is a two-part art installation to be featured at the Esther Klein Gallery in Philadelphia, PA in 2021. The goal of the exhibition is to 1) create awareness of the value of biometric data and to 2) illustrate a sustainable model for handling that personal data.We’ve named a person’s biological data set a “Biostory”. Your Biostory is a visual personal narrative told through biometric data, specifically coming from the immune system. 10 Biostories of anonymous donors (+ the artists) will visualize how our immune systems uniquely respond to antigens. In sequencing one’s immune response, the data becomes available to researchers, and can help in discovering cures to diseases. Thus, each Biostory visual represents both a humanized portrait of the data as well as a contribution of valuable information to science. Visuals are generated from real data from a public sequence library. Each art frame includes its own voice track, narrating the possible events the subject may have lived through. The second component of the installation is the Biolog data bank, a fictitious biotech company of the future. Event guests will walk through an “on-boarding” session, where they will experience what the process of investing in their biometric data as an asset might look like. Each Biostory is a non-fungible token (NTF) which lives on the blockchain. This token system ensures that its source is anonymous and that the data is secure. In this futuristic scenario, when a research facility purchases a Biostory, each individual is compensated for their contribution in the form of a cryptocurrency. The installation reminds both scientists and the general public that this data comes from real people with hopes, dreams, and emotions, and that their biology is precious.
How voice capabilities create a trusted, accurate, and efficient customer experience
With Brian LoveysOffering Management at IBM
13:24 - 13:45 • IBM
How voice capabilities create a trusted, accurate, and efficient customer experience
With Brian Loveys
Offering Management at IBM
With Britney Duber.
Every leader knows that providing high quality customer service in call centers is a challenge. Growing call volumes, increasing end user expectations, and the need to ensure customer service is consistent across all channels are all driving the need to innovate. Join us for a results-focused discussion on how to address these challenges head on with lessons learned from industry leaders In this session, we will talk about how IBM Watson Assistant for Voice Interaction works as an AI assistant in your call center—talking to end users over the phone to resolve their queries as quickly as possible, while interacting with them using natural language and natural sounding voices.
Data Feminism
By Lauren KleinAssociate Professor at Emory University
13:40 - 14:00 • Main Stage
Data Feminism
By Lauren Klein
Associate Professor at Emory University
As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists–and others who rely on data in their work–to ignore.
But it is precisely this power that makes it worth asking: “Data science by whom? Data science for whom? Data science with whose interests in mind?
These are some of the questions that emerge from what we call data feminism, a way of thinking about data science and its communication that is informed by the past several decades of intersectional feminist activism and critical thought. Illustrating data feminism in action, this talk will show how challenges to the male/female binary can help to challenge other hierarchical (and empirically wrong) classification systems; it will explain how an understanding of emotion can expand our ideas about effective data visualization; how the concept of invisible labor can expose the significant human efforts required by our automated systems; and why the data never, ever “speak for themselves.”
The goal of this talk, as with the project of data feminism, is to model how scholarship can be transformed into action: how feminist thinking can be operationalized in order to imagine more ethical and equitable data practices.
Digital avatar to support critical clinical decisions in cardiovascular diseases
By Christian ContarinoCTO at Computational Life Inc
13:40 - 14:00 • Data Science
Digital avatar to support critical clinical decisions in cardiovascular diseases
By Christian Contarino
CTO at Computational Life Inc
“Determining the right treatment for patients suffering of cardiogenic shock conditions is extremely difficult and doctors have to quickly perform critical choices without precisely knowing the possible consequences for the patients. We provide doctors with a digital platform solution to predict the effect of mechanical circulatory support system and support them throughout their clinical decisions. We aim to benefit both doctors and patients by minimizing worst-case scenarios, improve quality of life for patients, with a direct reduction of the length of stay.”
Networking Activity brought to you by Kairos Society
13:40 - 14:00 • Future Society
Networking Activity brought to you by Kairos Society
Join the networking session with Kairos Society – a global community of top young entrepreneurs and global leaders who aim to solve the world’s greatest challenges.
Interview with Researcher and Ambassador Marisa Tschopp
With Marisa Tschopp, Kim DressendörferResearcher @ scip AG | Women in AI Ambassador Switzerland | Lecturer @ HSLU | AI & Psychology at scip AG, HSLU
13:54 - 14:42 • IBM
Interview with Researcher and Ambassador Marisa Tschopp
With Marisa Tschopp
Researcher @ scip AG | Women in AI Ambassador Switzerland | Lecturer @ HSLU | AI & Psychology at scip AG, HSLU, With Kim Dressendörfer
Technical Specialist AI, Data & Watson Platform at IBM
Marisa Tschopp is a power woman. She started her career in a non technical environment, but got inspired to change her career path and follow her passion after listening to an AI Keynote. Now she is a Researcher at SKIP especially focusing on the psychological side of AI and how humans interact with machines.
Fireside Chat: Digital Transformation
With David Ruau, Aline NoizetVP, Head of Global Data Asset & Decision Science at Bayer Pharmaceuticals
14:05 - 14:35 • Main Stage
Fireside Chat: Digital Transformation
With David Ruau
VP, Head of Global Data Asset & Decision Science at Bayer Pharmaceuticals, With Aline Noizet
Founder at Digital Health Connector
Science at Scale: Accelerating AI Solution Delivery in Healthcare.
Designing for trust in your AI experiences
With Jennifer Sukis, Dr. Robin Langerak, Lisa Chen, Dillon Eversman, Mary KimDirector of Design, AI Transformation at IBM
14:09 - 14:07 • IBM
Designing for trust in your AI experiences
With Jennifer Sukis
Director of Design, AI Transformation at IBM, With Dr. Robin Langerak
User Researcher at IBM, With Lisa Chen
Lead Design Strategist at IBM, With Dillon Eversman
User Experience Designer at IBM, With Mary Kim
UX Designer at IBM
AI gives us exciting new ways to solve problems, but its implementation invites questions: How do I know when AI is being used? How confident can I be in the recommendations it’s making? How do I know I can I trust this company with my data? Join us for a session where we’ll discuss how IBM is empowering users with the insights they need to feel confident about the recommendations Watson is making.
Trust: Hard to build, easy to break
With Ritika Gunnar, David CoxVP, Data & AI Expert Services & Learning at IBM
14:09 - 14:35 • IBM
Trust: Hard to build, easy to break
With Ritika Gunnar
VP, Data & AI Expert Services & Learning at IBM, With David Cox
IBM Director, MIT-IBM Watson AI Lab at IBM
As more organizations move beyond experimentation to full-scale AI projects, they are recognizing there’s more to successful implementations than simply having the right datasets, AI models and scalability. Increasingly, dimensions of trust, including fairness, robustness and explainability, are essential to ensure confidence in AI outcomes. Attend this keynote session to hear Ritika Gunnar, Vice President of IBM Data and AI and David Cox, Director of MIT-IBM Watson AI Lab with IBM Research, discuss how and why IBM is pioneering AI solutions people can trust.
Inside the most effective ways regulated domains employ NLP
With Dr. Sean GoltzAdvisor to the CEP at Global Regulations Inc
14:37 - 14:58 • IBM
Inside the most effective ways regulated domains employ NLP
With Dr. Sean Goltz
Advisor to the CEP at Global Regulations Inc
With Dami Ajayi.
If you’ve heard of AI, you’ve heard of natural language processing. A trusted NLP model is a critical component of any thoughtful AI application — why? Enterprises, especially in highly-regulated or data intense industries, have always needed a trusted source of data truth, but it’s even more important than ever when applying AI. How did your AI reach its decision? Do you trust it? Join IBM experts and leaders in risk and compliance and law to understand how they are using NLP to accelerate processes, analyze data more efficiently, or even provide smarter recommendations. For example, how one organization uses NLP to index, process and translate nearly 2 million laws from 100 countries. They’ll share insights on the importance of trust and transparency when it comes to decisions and how IBM’s NLP and NLU capabilities empower them to break down their data and harvest new insights.
Networking Activity
14:40 - 15:00 • Main Stage
Networking Activity
Networking Activity
14:40 - 15:00 • Data Economy
Networking Activity
Networking Activity
14:40 - 15:00 • Data Science
Networking Activity
Networking Activity
14:40 - 15:00 • Future Society
Networking Activity
Everything they don't teach you in data science boot camp
By Clemens Meyer zu RhedaData Scientist at Foundamental
14:40 - 16:35 • Workshops
Everything they don't teach you in data science boot camp
By Clemens Meyer zu Rheda
Data Scientist at Foundamental
So you have trained a model. Great! But now what?
To actually derive value from it someone has to use it. But that’s hardly possible if it’s stuck in a Jupyter notebook. So you have to deploy it somewhere.
We will go over a couple of techniques that can be used to make your model available, and see that it can be fixed and updated without too much hassle.
Who is it for? Any (aspiring) Data Scientist that wants to peek into what it means to do Data Science in a real world environment. Plus people that already know that and want to point out my mistakes.
Interview with Watson Centre Leader Andrea Martin
With Andrea Martin, Kim DressendörferIBM Distinguished Engineer, Leader IBM Watson Centre Munich at IBM
14:44 - 15:11 • IBM
Interview with Watson Centre Leader Andrea Martin
With Andrea Martin
IBM Distinguished Engineer, Leader IBM Watson Centre Munich at IBM, With Kim Dressendörfer
Technical Specialist AI, Data & Watson Platform at IBM
Andrea Martin was fascinated by numbers from the beginning of her career. Starting with being a student in Applied Mathematics all the way up of becoming a Distinguished Engineer, one of IBM’s highest technical ranks, and being the Leader of the Watson IoT Center in Munich.
Build a trading bot with Deep Reinforcement Learning using Ray and RLlib
By Romeo KienzlerCTO and Chief Data Scientist at IBM
15:00 - 15:47 • IBM
Build a trading bot with Deep Reinforcement Learning using Ray and RLlib
By Romeo Kienzler
CTO and Chief Data Scientist at IBM
Why are most DeepRL publications on playing video games? Because we have a perfect simulator? Can’t we use the abundance of historic financial data as a simulator for trading bots. I meant agents of course. This workshop covers the basics of DeepRL by explaining how AlphaGo Zero works and takes you towards an end to end implementation of a DeepRL based bot for trading. This is my contribution to democratize Artificial Intelligence in Finance.
Quantifying, Visualizing, and Forecasting Global Human Society: What it Looks Like To Compute on the Entire Planet
By Kalev LeetaruFounder at GDELT Project
15:05 - 15:25 • Main Stage
Quantifying, Visualizing, and Forecasting Global Human Society: What it Looks Like To Compute on the Entire Planet
By Kalev Leetaru
Founder at GDELT Project
What happens when massive computing power brings together an ever-growing cross-section of the world’s information in realtime, from news media to social media, books to academic literature, the world’s libraries to the web itself, mass machine translates all of it from more than 100 languages and transforms this immense record of humanity into a living global catalog of our planet, connecting the world’s information into a single massive ever-evolving realtime network that allows us to peer into the very soul of global society? Today the GDELT Project (https://www.gdeltproject.org/) is one of the largest open datasets for understanding human society, totaling more than 3.2 trillion datapoints spanning 200 years and has become a global standard used by humanitarians, NGOs, scholars, journalists and even ordinary citizens to make sense of our chaotic and rapidly evolving world. From disaster response to countering wildlife crime, epidemic early warning to food security, estimating realtime global risk to mapping the global flow of ideas and narratives, GDELT explores how we can use data to form bridges that can help build empathy and expand our own limited horizons, breaking down linguistic, geographic and cultural barriers to let us see the world through the eyes of others and even forecast the future, capturing the realtime heartbeat of the planet we call home. How can we leverage this immense firehose of data to estimate global risk in realtime through planetary-scale data analysis?
Networking
15:05 - 15:45 • Data Economy
Networking
PANEL: The Ethical Implications of SEO
With Jamie Alberico, Victor Pan, Lily Ray, Kyle Roof, Gianna Brachetti-Truskawa100% Human Technical SEO Consultant at Not a Robot
15:05 - 15:45 • Data Science
PANEL: The Ethical Implications of SEO
With Jamie Alberico
100% Human Technical SEO Consultant at Not a Robot, With Victor Pan
Principal Marketing Manager, SEO at HubSpot, With Lily Ray
SEO Director at Path Interactive, With Kyle Roof
Co-Founder at PageOptimizer Pro, With Gianna Brachetti-Truskawa
VP of SEO at Startdowns.de
Bots aren’t “moral” devices. Neither are websites. Code inherits the values, blindspots, and biases of its creators. When do human values override technological guidelines? Is it time we create a code of ethics in SEO?
Communication Post Telehealth Adoption
By Sarianne Gruber, Nabia “Bia”MaloufAnalyst at SG Healthcare Analytics LLC
15:05 - 15:25 • Future Society
Communication Post Telehealth Adoption
By Sarianne Gruber
Analyst at SG Healthcare Analytics LLC, By Nabia “Bia”Malouf
Clinical Informatics at Independent
Telehealth adoption skyrocketed with the onset of the Covid-19 pandemic. New health policies moved unprecedently quickly through the US legislation process, and digital encounters between patients and healthcare providers have now moved beyond episodic care. Studies can directly measure telehealth use concerning costs, treatment outcomes, and population inequities.
However, little has been done on patient engagement preferences and physician practice management styles regarding telehealth. The intended study is to employ MindCart.ai, from the lab of Dr. Howard Moskowitz. A preference-based conjoint analysis is used to define patient and physician attitudes and preferences.
The goal is to determine which criteria would foster optimal telehealth sessions. Questions can cover digital equipment and platforms, data privacy, adequate time, videoing sessions, and conveying empathy digitally.
This study aims to improve patient engagement and health provider digital access for the future since the most significant outcome from this pandemic has been learning how to be humanly close despite the distance.
Data is a team sport: Designing and delivering customized data experiences
With Rick Vermeer, Dr. Liz PrattMetadata Manager at ING Wholesale Banking Data Management at ING
15:13 - 15:34 • IBM
Data is a team sport: Designing and delivering customized data experiences
With Rick Vermeer
Metadata Manager at ING Wholesale Banking Data Management at ING, With Dr. Liz Pratt
Head of UX Research at IBM AI Applications
Managing massive amounts of data is no small task. It takes teams of data producers and consumers to gather, analyze, and act on your data insights. IBM is developing tools that help you quickly know, trust, and use your data to its fullest potential. But these solutions aren’t created in a vacuum, they’re the product of continuous collaboration. Join us for a session where we’ll explore how we’re working with you to reimagine your data experiences.
Why collecting socially responsible/socially just race-based data is critical to data science?
By Roberta K. Timothy , Ph.D.Assistant Professor, Program Director : Health Promotion at Dalla Lana School of Public Health, University of Toronto
15:30 - 15:45 • Main Stage
Why collecting socially responsible/socially just race-based data is critical to data science?
By Roberta K. Timothy , Ph.D.
Assistant Professor, Program Director : Health Promotion at Dalla Lana School of Public Health, University of Toronto
This talk will look at the ethics and practice of collecting socially just race-based data focusing on historical and contemporary examples in global African/Black communities, among others, arguing that data science has a social responsibility to collect data that is emancipatory, intersectional, and anti-oppressive. A current case example of African/Black communities in the COVID-19 pandemic will be utilized.
Networking Activity
15:30 - 15:45 • Future Society
Networking Activity
As big as the ocean: The UN Environmental Programme unifies data to eradicate beach pollution
With Kunal Sawarkar, Dick DardenPrinciple Data Scientist, IBM Data Science and AI Elite at IBM
15:36 - 16:05 • IBM
As big as the ocean: The UN Environmental Programme unifies data to eradicate beach pollution
With Kunal Sawarkar
Principle Data Scientist, IBM Data Science and AI Elite at IBM, With Dick Darden
Engineer IBM Data and AI Expert Labs and Learning North America Government at IBM
With Dr. Anne Bowser.
Marine litter presents an eyesore for beachgoers and doubles as serious threat to the environment. Learn how UNEP worked with the IBM Data Science and AI Elite team to adeptly measure the scale of marine litter, and track reduction efforts powered by IBM Cloud Pak for Data. You’ll also meet Sam, a built by New Zealand’s Soul Machines that brings communities together to solve one of the world’s most pressing environmental problems using a conversational style using IBM Watson Assistant.
Tech Talk : Cloud Native Covid-19 Data Analytics with Kubernetes and OpenShift
By Mo HaghighiDeveloper Ecosystems Leader at IBM
15:49 - 16:19 • IBM
Tech Talk : Cloud Native Covid-19 Data Analytics with Kubernetes and OpenShift
By Mo Haghighi
Developer Ecosystems Leader at IBM
We have seen a range of data published on the impact of various parameters on the spread of covid-19, including population density, average number of people per household, ethnicity, weather data etc.
Have you ever wanted to run your own analytics on covid-19 data, and examine data sets in order to draw a particular conclusion? Or possibly evaluate a theory, that may or may not be true. Such analytics could potentially shed light on the impacts of various factors, and you can apply them to a variety of problems.
In this talk we will demo an application, comprised of multiple microservices for parsing time series data for the number of positive and death cases in every country and region, and how environmental parameters could correlate with those figures.
You will learn how to build your own data parser microservices, written in any programming language of your choice, and make them publicly available through REST APIs on any cloud platform with Kubernetes.
You will also learn how to combine your Python application with other components developed with other tools and programming language. To showcase the capability of microservices, we will demo a sample application in which the data analytic application is written in Python, the data parser and frontend UI are written in Java, and the data visualization has been developed in Node.js.
Recommendation Mechanism For Explainable Artificial Intelligence (XAI) Methods
By Kaoutar ChennafMaster student-Researcher at TU Berlin
15:50 - 16:10 • Main Stage
Recommendation Mechanism For Explainable Artificial Intelligence (XAI) Methods
By Kaoutar Chennaf
Master student-Researcher at TU Berlin
Kaoutar Chennaf will talk about an emerging field in AI that would make it accessible to all. It’s about the future of AI from which humans can benefit more.
How moving to digital communication impacted different aspects of work
By Agnieszka MichalikHERE Technologies, ESMT at Solution Architect
15:50 - 16:10 • Data Economy
How moving to digital communication impacted different aspects of work
By Agnieszka Michalik
HERE Technologies, ESMT at Solution Architect
The talk analyzes different aspects of work – communication, types of communication, workload, motivation, satisfaction and well-being of employees impacted by the event of COVID-19. The research is based on a survey run in various countries (Russia, Western Europe and the DRC) among employees. The research delivers recommendations to managers how to deal with the challenges caused by the new style of working and how to support employees.
Networking Activity
15:50 - 16:10 • Data Science
Networking Activity
How AI helped in tracking domestic violence during Lockdown
By Harini SureshLead Machine Learning Engineer at Omdena
15:50 - 16:10 • Future Society
How AI helped in tracking domestic violence during Lockdown
By Harini Suresh
Lead Machine Learning Engineer at Omdena
In our recent project with RDF (https://omdena.com/projects/ai-domestic-violence/), we crafted a data set to reveal domestic violence and on-line harassment in India during COVID19 lockdowns. This work is having an impact. RDF recently launched a Public Interest Law (PIL) in the Supreme Court of India to list Domestic Violence prevention services as essential. That has been redirected to the Government when it came up for hearing. To put pressure on the government, RDF launched a petition: https://www.change.org/p/ministry-of-women-and-child-development-domestic-violence-services-should-be-listed-as-essential The research part includes data collection, building a classifier, and Named Entity Recognition Model with challenges, limitations concerning data.
The rhythm of music and science with the MET Orchestra
With Stephanie Mortimore, Seth Dobrin, PhDPrincipal Piccolo at Metropolitan Opera Orchestra
16:07 - 16:21 • IBM
The rhythm of music and science with the MET Orchestra
With Stephanie Mortimore
Principal Piccolo at Metropolitan Opera Orchestra, With Seth Dobrin, PhD
Chief Data Officer (CDO) at IBM
With Dr. Howard Stone and Dr. Manouk Abkarian.
The Metropolitan Opera Orchestra Musicians has teamed up with scientists and engineers from Princeton University and the University of Montpellier for a study on the potential asymptomatic spread of COVID-19 through musical performance. Attend this session to see how scientists and engineers will measure several quantitative and qualitative features of air flow and “droplet spray” created by singers and instrumentalists when they perform in hopes to learn how to reduce risk of virus transmission via aerosols from asymptomatic individuals during orchestral performances and increase safety practices during repetitions between performers.
Computer Vision APIs & Gender Bias in the Age of COVID-19
By Ilinca BarsanDirector of Data Science at Wunderman Thompson
16:15 - 16:35 • Main Stage
Computer Vision APIs & Gender Bias in the Age of COVID-19
By Ilinca Barsan
Director of Data Science at Wunderman Thompson
In this presentation, Ilinca Barsan will talk through a weird, slightly unsettling, and very topical example of how Artificial Intelligence – more specifically, computer vision – sees men and women through a very different lens (hint: it’s all about misidentifying masks), explain how this kind of bias happens, and suggest what you can do about it as you build products powered by data.
Data Storytelling
By Vijay Pravin MaharajanData Analytics Expert at Siemens AG
16:15 - 16:35 • Data Economy
Data Storytelling
By Vijay Pravin Maharajan
Data Analytics Expert at Siemens AG
Vijay Pravin will talk about the importance of Data Visualization.
Networking Activity
16:15 - 16:35 • Data Science
Networking Activity
Geolocation and AI challenges in disputed territories or partially recognized states
By Renato LosioPrincipal Cloud Architect at Funambol
16:15 - 16:35 • Future Society
Geolocation and AI challenges in disputed territories or partially recognized states
By Renato Losio
Principal Cloud Architect at Funambol
Ukrainian users upset because Crimea was removed by Apple from the map of their land. “What is the capital of Israel?” is a question that has triggered different answers from voice virtual assistants. We will go on a virtual tour around the world to see how disputed territories or partially recognized states are handled by the largest online services. And understand the impacts and the challenges of geolocation services and using AI to handle location-sensitive information.
Trust in AI: It starts with the data foundation
With Noel Yuhanna, Kip YegoVP, Principal Analyst at Forrester Research
16:20 - 16:45 • IBM
Trust in AI: It starts with the data foundation
With Noel Yuhanna
VP, Principal Analyst at Forrester Research, With Kip Yego
Product Marketing Manager, IBM Cloud Platform at IBM
With Nidhi Bhatgnager.
Successful AI adoption is predicated on building trust with all stakeholders. The starting point is a data management strategy that incorporates security, precision, accountability, and flexibility, with attributes such as data encryption, availability, container recovery, and multi-modal data management. Join this session to hear Noel Yuhanna, VP and Principal Analyst at Forrester, and Nidhi Bhatnagar, Offering Manager, at IBM, discuss why trust in AI starts with a strong data foundation.
How The Weather Channel Built a COVID-19 Data Lake in a Week
With Travis Smith, Torsten Steinbachhief Architect, Consumer Products at The Weather Company
16:23 - 16:42 • IBM
How The Weather Channel Built a COVID-19 Data Lake in a Week
With Travis Smith
hief Architect, Consumer Products at The Weather Company, With Torsten Steinbach
Lead Architect Cloud Data Lake at IBM
Join us to hear how the Weather Channel partnered with the IBM public cloud to rapidly build a data lake to feed detailed coronavirus tracking for consumers. In the session, we will review how the teams architected the data lake to quickly onboard new and diverse data sets from multiple sources, automate daily collection pipelines, source and radically minimize resource and operational costs by using serverless and full ops automation.
Networking
16:40 - 16:50 • Main Stage
Networking
Score a Touchdown with Watson Fantasie Insights
With Noah Syken, Aaron BaughmanVice President, Sports and Entertainment Partnerships at IBM
16:44 - 16:57 • IBM
Score a Touchdown with Watson Fantasie Insights
With Noah Syken
Vice President, Sports and Entertainment Partnerships at IBM, With Aaron Baughman
Distinguished Engineer - AI and Emerging Technology Leader at IBM
It’s that time of year again – football season! To celebrate the start of football season and kick off our next series of IBM Data & AI Forum, we’d love to have you join us for a one-of-a-kind virtual event featuring Watson Fantasy Insights, which is the AI and NLP technology helping Fantasy Football players win their matchup every week and enhancing the fan-less experience for the US Open. Join us to find out how Watson Fantasy Insights helps you make important decisions, from which running back and QB to start each week for Fantasy Football to assessing business value and making tradeoffs for your organization.
Automating the AI Lifecycle
With Jennifer Sukis, Dr. Robin LangerakDirector of Design, AI Transformation at IBM
16:47 - 17:02 • IBM
Automating the AI Lifecycle
With Jennifer Sukis
Director of Design, AI Transformation at IBM, With Dr. Robin Langerak
User Researcher at IBM
Designing an AI means defining the kind of data you’ll need, assessing its quality, anticipating if the model will need to adjust for the holiday season sales, or if age ranges will affect the results…not necessarily everyone’s area of expertise. Watson automates the technical aspects of these processes so you, our users, can focus on the big picture decisions. Join us for a session where you’ll see how anybody can use AutoAI on IBM Watson Studio to build and deploy data science models within minutes.
Bias in Recommender Systems
By Ricardo Baeza-YatesProfessor at Northeastern University
16:55 - 17:15 • Main Stage
Bias in Recommender Systems
By Ricardo Baeza-Yates
Professor at Northeastern University
In this presentation we cover all biases that affect search and recommender systems. They include biases on the data, the algorithms as well as the user interaction, in particular the ones related to relevance feedback loops (e.g., ranking and personalization). In each case we cover the main concepts and when known, the techniques to ameliorate them, as well as biases that might be product of the evaluation methods used. This presentation is partially based on Bias on the Web, Communications of ACM, June 2018.
Networking
16:55 - 17:15 • Data Economy
Networking
Networking Break
16:55 - 17:15 • Data Science
Networking Break
Panel: The Power of Belonging in times of uncertainty and a better normal.
With Ariana Ivan, Giulia Motteran, Luciana Carvalho SeCEO at 108 Forests
16:55 - 17:40 • Future Society
Panel: The Power of Belonging in times of uncertainty and a better normal.
With Ariana Ivan
CEO at 108 Forests, With Giulia Motteran
4YFN Global Engagement Manager at GSMA, With Luciana Carvalho Se
Cofounder & CMO at MindCheck
It’s been almost a year that our lives changed drastically.
Are we belonging to the tech community we were proud of?
Are we becoming asocial?
Will we be able to evolve for a new better normal?
Join These speakers for an existential explication towards the difficult time of belonging.
Networking
16:55 - 17:40 • Workshops
Networking
Building AI Skills: A How-To Guide
By Ana EcheverriData and AI Expert Labs Learning Leader at IBM
16:59 - 17:25 • IBM
Building AI Skills: A How-To Guide
By Ana Echeverri
Data and AI Expert Labs Learning Leader at IBM
Everyone talks about the importance of developing AI skills. But what does this really mean? And how do you get started? AI skills are a collection of competencies that go from understanding AI capabilities to be able to identify opportunities for new AI in your organization, to having the ability to use sophisticated specialized technologies with focused outcomes, to having the capacity to build your own AI models through deep technical programming skills, and a solid mathematical foundation. In this session, you will have the opportunity to hear from Ana Echeverri, AI Skills Lead at IBM, as she provides a roadmap of skills to develop based on your own interests and professional needs around AI.
Need a better Data Strategy? Apply 5 Steps to increase agility and trust in your data
With David Stodder, Beate Porst, Bharath ChariSenior Director of Research for BI at TDWI Research
17:04 - 17:30 • IBM
Need a better Data Strategy? Apply 5 Steps to increase agility and trust in your data
With David Stodder
Senior Director of Research for BI at TDWI Research, With Beate Porst
Program Director Offering Management at IBM, With Bharath Chari
WW Product Portfolio Marketing Manager, IBM Data Integration and Information Server at IBM
Cloud computing is critical to the flexibility, speed, and cost savings organizations need. But if data management and data integration lags behind, much of the cloud’s potential will be lost. Organizations need to modernize data movement, integration, and governance to shorten the time it takes to realize the operational and cost benefits from the cloud. Join this session to learn how your organization can modernize data integration and governance for multiple cloud platforms and continuing on-premises systems. David Stodder from TDWI, along with Beate Porst from IBM, will discuss key topics such as ‘design once – run anywhere’ principles, governance, data catalogs, and more concepts that are vital to a holistic approach to data integration.
Individuals, collectives, and the tradeoffs of transhumanism
By Alistair CrollFounder at Solve for Interesting
17:20 - 17:40 • Main Stage
Individuals, collectives, and the tradeoffs of transhumanism
By Alistair Croll
Founder at Solve for Interesting
Technology is neither good or bad. Since the time we spoke the first word, or lifted the first stone, or shunned the first member, we have worked collectively with ideas. This is what lifted humans to sentience. Thousands of years later, we are inextricably linked to our tools, and one another. In the last century, we’ve moved from analog to digital, and in so doing, redefined what it means to be human. We can search our collective knowledge, and connect to most of our population in real time. This doesn’t seem extraordinary, because we’re in the middle of it. But historians will look at this era as one in which we’re transforming from individuals to a collective. For millennia, culture, language, and social pressure have shaped how we think and what we share. But technology has accelerated that process in unthinkable ways. In this talk, entrepreneur and bestselling author Alistair Croll will look the big picture of technology, and how we balance individual rights and free thought with an emerging, connected “us.”
Live Healthier, Longer and Better with AI
By Tina WoodsFounder & CEO at Collider Health
17:20 - 17:40 • Data Economy
Live Healthier, Longer and Better with AI
By Tina Woods
Founder & CEO at Collider Health
Living healthier, living longer, and living better form part of the new longevity lexicon and making ‘100 the new 60’. The pandemic has shown the importance of health as our greatest asset, which is increasingly being recognized as a measure of societal success. The solutions for living longer are linked to living greener and there are lessons we can take forward from the climate change crisis into the new health emergency. How can we mobilise technology to drive this system change and ensure the longevity dividend reaches everyone?
What it needs for a liquid data economy - On data integration of external data
By Florian GrüningCMO at Kuwala.io
17:20 - 17:40 • Data Science
What it needs for a liquid data economy - On data integration of external data
By Florian Grüning
CMO at Kuwala.io
Data Gathering takes a long time, Data Talents are in high demand and the data volume will increase by more than 300% in the next years. And still, the biggest bottleneck in the data science workflow seems to be data gathering. What does it take to create the liquid data economy of the future and why are we still struggling with data integration from external data sources. A macro view on the situation and a community-based solution.
Infuse Your Talent Strategy with AI that Ignites Your Workforce
With Elizebeth Varghese, Andy JankowskiPartner & Norht American Market Leader: Talent & Tranformation Innovation Unit IBM Partner, Talent & Transformation at IBM
17:27 - 17:52 • IBM
Infuse Your Talent Strategy with AI that Ignites Your Workforce
With Elizebeth Varghese
Partner & Norht American Market Leader: Talent & Tranformation Innovation Unit IBM Partner, Talent & Transformation at IBM, With Andy Jankowski
Partner, Talent & Transformation at IBM
Leading organizations understand the impact of AI on business models, workforce demographics, and the changing experiences expected by customers and employees alike – and today, AI has become exceedingly accessible for the HR profession. AI is enabling organizations to solve pervasive talent issues such as attracting and developing new skills, improving employee experiences, streamlining communications, providing analytical decision support, and making more efficient use of HR budgets. With some upskilling of the workforce, ethical operating guidelines, and a healthy dose of technical curiosity, the HR function is now positioned to truly drive strategic advantage while better supporting the employees we rely on to put the strategy into action. AI can be applied in almost any area of HR and in this session, we will share use cases for AI across the employee journey – along with the growing importance of AI in times of crisis.
AutoAI: The trusted brain behind faster and smarter machine learning
17:32 - 17:55 • IBM
AutoAI: The trusted brain behind faster and smarter machine learning
With Christopher Penn and with Priya Krishnan.
As organizations hurry to enhance and modernize business with AI, one thing is clear: simply acquiring more knowledge is no longer sufficient. Your business needs the ability to identify trends and make predictions, trust AI models, and speed experimentation time from weeks and months to minutes and hours. AutoAI is helping companies speed model development by up to 80 percent, enabling data scientists to make higher-value contributions. How well does AutoAI live up to its promise? Join Christopher Penn, Co-founder and Chief Data Scientist at TrustInsights.ai for an expert’s view on how you can automate the AI lifecycle for better outcomes.
Circus Show by Codarts Students
17:45 - 18:05 • Main Stage
Circus Show by Codarts Students
The two duos, “SoKi” (acro duo) and “Tobi and Finn” (juggling duo) are circus students at “Codarts” in Rotterdam. They are all graduating university (yes, you can study circus) next summer (2021).
Tobi and Finn:
- Instagram: Tobi_and_Finn
Interview with CEO and Author Katie King
With Katie King, Kim DressendörferBoard Advisor | Author | Management Consultant | Keynote speaker on AI at AI in Business
17:54 - 18:42 • IBM
Interview with CEO and Author Katie King
With Katie King
Board Advisor | Author | Management Consultant | Keynote speaker on AI at AI in Business, With Kim Dressendörfer
Technical Specialist AI, Data & Watson Platform at IBM
Katie King has an extraordinary career, she started in a non technical role and found her way up to be now a member of the All-Party Parliamentary Group Task Force in UK on Artificial Intelligence and a book author for the book “Using Artificial Intelligence in Marketing“.
Combat loneliness: how hackathons can help revolutionize our society
With Bente Acking, Stephanie CleijpoolFounder & CEO at TheHeroLoop
17:57 - 18:15 • IBM
Combat loneliness: how hackathons can help revolutionize our society
With Bente Acking
Founder & CEO at TheHeroLoop, With Stephanie Cleijpool
Developer Relations Lead EMEA at IBM
‘Hackathons can be a great way for developer to leverage their skills to build solutions that have an immediate impact on society. Joining a coding challenge can help you materialize your ideas. Bente Acking, founder of TheHeroLoop will tell you how.
TheHeroloop is winner of the 2020 Call for Code Regional Award in Europe. A yearly challenge for developers and problem solvers to build solutions that fight back against the most pressing issues of our time. No surprise, the theme for this year was focused on the Covid-19 pandemic, looking at Remote Learning, Crisis Communication and Community Building.
In this Q&A session Bente will tell you more about her journey from idea to deployment, giving you some tips on how to start bringing your own ideas to live.
LIVE MUSIC
With Scott & LilaMusicians at Scott & Lila
18:10 - 18:40 • Main Stage
LIVE MUSIC
With Scott & Lila
Musicians at Scott & Lila
Scott Hildebrand and Lila Despoix are an acoustic duo based in Berlin. They met busking in the streets of Berlin in spring 2019, during Scott’s street performing show. Since then, they have recorded an EP and performed all over Germany, France, Italy, and Sri Lanka. Their feel-good music warms the hearts of listeners and fuses Blues, Jazz and Motown feels with a fresh modern twist. Get more info about Scott & Lila and follow them on their socials: https://linktr.ee/SCOTTandLILA
Inside the Science Behind Your Biggest Decisions
18:17 - 18:44 • IBM
Inside the Science Behind Your Biggest Decisions
With Carlvin Paris and Summeet Parashar.
High growth organizations are accelerating time to value using AI to automate critical business decisions. A solid data and AI platform can boost AI adoption by helping to address challenges like skills shortage and access to critical data sources for richer insights. In this session, we will explore how companies are using IBM Watson Studio Premium for Cloud Pak for Data to derive actionable insights by combining predictive and prescriptive analytics. Join us for a fireside chat with Llamasoft, a company that delivers the science behind supply chain’s biggest decisions. Learn how 750 of the world’s leading supply chains leverage this AI-enabled supply chain platform to explore options and assess risks and trade-offs to accelerate decisions.
Data not Drama, creating a better world with Quantum Computing
By WhurleyCEO at Strangeworks
18:45 - 19:15 • Main Stage
Data not Drama, creating a better world with Quantum Computing
By Whurley
CEO at Strangeworks
During his presentation, Whurley will discuss how Quantum Computing will forever change the computing landscape and potentially the balance of international power; but not without your involvement.
Data not Drama, creating a better world with Quantum Computing
By WhurleyCEO at Strangeworks
18:45 - 19:15 • Data Economy
Data not Drama, creating a better world with Quantum Computing
By Whurley
CEO at Strangeworks
During his presentation, Whurley will discuss how Quantum Computing will forever change the computing landscape and potentially the balance of international power; but not without your involvement.
Data not Drama, creating a better world with Quantum Computing
By WhurleyCEO at Strangeworks
18:45 - 19:15 • Data Science
Data not Drama, creating a better world with Quantum Computing
By Whurley
CEO at Strangeworks
During his presentation, Whurley will discuss how Quantum Computing will forever change the computing landscape and potentially the balance of international power; but not without your involvement.
Data not Drama, creating a better world with Quantum Computing
By WhurleyCEO at Strangeworks
18:45 - 19:15 • Future Society
Data not Drama, creating a better world with Quantum Computing
By Whurley
CEO at Strangeworks
During his presentation, Whurley will discuss how Quantum Computing will forever change the computing landscape and potentially the balance of international power; but not without your involvement.
PARTY with DJ Mr. Purple
19:20 - 20:00 • Main Stage
PARTY with DJ Mr. Purple
PARTY with DJ Mr. Purple
19:20 - 20:00 • Data Economy
PARTY with DJ Mr. Purple
PARTY with DJ Mr. Purple
19:20 - 20:00 • Data Science
PARTY with DJ Mr. Purple
PARTY with DJ Mr. Purple
19:20 - 20:00 • Future Society
PARTY with DJ Mr. Purple
Data Natives Networking Party
12:30 - 13:30 • Matchathon
Data Natives Networking Party
For VIP ticket holders only.