Agenda

10:00 - 10:01 • Main Stage

Second Day Kick-Off

By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy

10:00 - 10:01 • Data Economy

Second Day Kick-Off

By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy

10:00 - 10:01 • Data Science

Second Day Kick-Off

By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy

10:00 - 10:01 • Future Society

Second Day Kick-Off

By Elena Poughia
Founder & CEO, MD at Datanatives, Dataconomy

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

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.

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.

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.

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.

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.

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.

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.

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.

10:28 - 10:40 • Future Society

ICE Breaker!

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!

10:42 - 10:54 • Data Economy

ICE breaker!

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.

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.

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?

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.

11:00 - 11:20 • Data Science

Networking Activity

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.

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.

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.

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.

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.

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.

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

11:25 - 11:50 • Future Society

Using Art to democratize AI

By Kirell Benzi
Head of Research at ekino

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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“.

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.

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?

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.

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.

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.

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.

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.”

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.

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.

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.

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.

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.

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.

14:40 - 15:00 • Main Stage

Networking Activity

14:40 - 15:00 • Data Economy

Networking Activity

14:40 - 15:00 • Data Science

Networking Activity

14:40 - 15:00 • Future Society

Networking Activity

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.

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.

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.

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?

15:05 - 15:45 • Data Economy

Networking

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?

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.

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.

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.

15:30 - 15:45 • Future Society

Networking Activity

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.

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.

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.

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.

15:50 - 16:10 • Data Science

Networking Activity

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.

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.

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.

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.

16:15 - 16:35 • Data Science

Networking Activity

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.

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.

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.

16:40 - 16:50 • Main Stage

Networking

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.

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.

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.

16:55 - 17:15 • Data Economy

Networking

16:55 - 17:15 • Data Science

Networking Break

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.

16:55 - 17:40 • Workshops

Networking

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.

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.

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.”

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?

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.

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.

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.

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

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“.

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.

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

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.

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.

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.

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.

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.

19:20 - 20:00 • Main Stage

PARTY with DJ Mr. Purple

19:20 - 20:00 • Data Economy

PARTY with DJ Mr. Purple

19:20 - 20:00 • Data Science

PARTY with DJ Mr. Purple

19:20 - 20:00 • Future Society

PARTY with DJ Mr. Purple

12:30 - 13:30 • Matchathon

Data Natives Networking Party

For VIP ticket holders only.

14:00 - 18:00 • Job Fair

Job Fair