DN Unlimited talks, panels & keynotes you shouldn’t miss

talks panels keynotes

The five DN Unlimited virtual stages filled with outstanding content from 100+ speakers are going live in a week.

The Future Society track will host thinkers & innovators whose focus is shaping a brighter future for all. The debates of the Data Economy track are for those who want to know how to ethically use data to transform economies and grow businesses. Deep dives into Python, NLP, transformer networks, AutoML, graph databases, augmented analytics & smart passion projects can be found at Data Science Track.

At the IBM’s “Data Science & Developer Experience” stage powered by Think Pop-Up, attendees will explore the concepts of trust, data & talent with the leading experts brought together by IBM.

Here’s the selection of talks, panels and keynotes that data scientists, developers, enterprises and all curious data-driven enthusiasts should not miss.

“Bias on Search and Recommender Systems” with Ricardo Baeza-Yates, Professor at Northeastern University

– November 19th at the Data Science Track.

Bias on the web reflects biases within ourselves, but we can learn the techniques to mitigate it.

In his talk, Recardo will cover all biases that affect search and recommender systems – biases on the data, the algorithms, user interaction, in particular the ones related to relevance feedback loops (e.g., ranking and personalization).  For each of these cases, Ricardo will present the main concepts and techniques to ameliorate them.

“How to put AI to work” with Ann-Elise Delbecq, IBM Data Science and AI Elite, Program Director

– November 18th at the Main Stage.

Everyone will benefit from AI infused business processes. It increases the likelihood to make better decisions and properly rank confidence in those decisions.

During this talk Ann-Elise will share the Data Science and AI Elite team experience across the globe. This experience spans from non for profit initiatives to companies in different industries.

“2062: The World that AI Made”with Toby Walsh, Professor of AI at UNSW Sydney

– November 18th at the Main Stage.

By 2062 we will have built machines as intelligent as us. Let’s imagine what this future would look like.

By 2062 we will have built machines as intelligent as us – so the leading artificial intelligence and robotics experts predict. But what will this future look like? World-leading researcher Toby Walsh will consider the impact AI will have on our work, wars, economics, politics, everyday life and even death.

“Project Debater – From Competitive Debate to Business Applications” with Yoav Katz (IBM Debating Technologies, IBM) and Matthias Biniok (Lead AI Architect, IBM)

– November 18th & 19th at IBM Data Science & Developer Stage.

Hear about IBM’s Project Debater - the first AI system that can meaningfully debate 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 most debate victories, in an event held in San Francisco that was broadcasted live world-wide. During this talk, you will hear the story of Project Debater, from conception to a final event, its underlying technology, and discuss how it can be leveraged for advancing decision making and critical thinking.

“Individuals, collectives, and the tradeoffs of transhumanism” with Alistair Croll, Founder at Solve for Interesting

– November 19th at the Data Economy Track.

Technology helps us to transform from individual to collective thinking. How to balance individual rights and free thought with an emerging, connected "us"?

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.

Thousands of years later, we are inextricably linked to our tools, and one another. 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.

Historians will look at this era as one in which we’re transforming from individuals to a collective. In this talk, entrepreneur and bestselling author Alistair Croll will look at the big picture of technology, and how we balance individual rights and free thought with an emerging, connected “us.”

“L’Oreal’s finance transformation: achieving a harmonized, centralized, dynamic view of a global data” with Laurent Mesnier (FP&A Information Systems Manager, L’Oreal) and Rachel Su (Offering Manager, IBM Cognos Analytics)

– November 18th & 19th at IBM Data Science & Developer Stage.

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.

“Data, people and robots – avoiding dystopia” with Greg Ameyugo, Head of Division – AI and Interactive Systems at CEA

– November 18th at the Main Stage.

Automation will make our lives better long-term. However, in the short term, it can lead us to dystopia.

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, the automation makes for a brighter future. In the short term, however, history shows that imbalances can lead to dystopia…and revolution. An alternative paradigm based on human-AI collaboration could soften the way towards a better future.

Build a trading bot with Deep Reinforcement Learning using Ray and RLlib with Romeo Kienzler (Chief Data Scientist Center for Open Source Data and AI Technologies | Building the Open Source First Path to Cloud Pak for Data)

– November 18th & 19th at IBM Data Science & Developer Stage.

Why are most of DeepRL publications about playing video games? Because we have a perfect simulator? Can’t we use the abundance of historical financial data as a simulator for trading agents? 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 Romeo’s contribution to democratize Artificial Intelligence in Finance.


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