Day 3: Track Programs | December 5


Strategic Business Functions and AI

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Enterprise organizations have a range of core business operations able to utilize AI technologies, however, this one-size-fits-all functionality can be a non-starter for some industries. Whether due to regulation, government oversight compliance, or unique requirements, these vertical markets may appear to be laggard adopters. Hear how these companies can innovate using intelligent solutions for sales, marketing, finance, engineering, HR, customer service, change management, corporate governance, and more.

Track Chairperson
John Desmond, Editor, AI Trends 

2:30 AI-Driven Customer Engagement at Uber
Jeremy Gu, Senior Data Scientist, Uber

3:40 Becoming Information-Driven in the Cognitive Era
Scott Parker, Director of Product Marketing, Sinequa

4:20 The Battle for AI Talent
Michelle Li, Director, MIT Master of Business Analytics Program, MIT


Emerging Technologies and the Future of AI

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There is no shortage of opinions on the potential for AI technologies in business. However, the current round of solutions is often viewed as expensive, proprietary, and complex to deploy and manage. When will AI solutions scale industry-wide? Is it possible to measure ROI for automation? How does AI rank against other corporate initiatives? The state of AI technology and its future is spoken here. From the development of neuromorphic chipsets to democratizing deep learning toolsets and from the next wave of machine vision, emotion, gestures, NLG, new algorithms, HPC and quantum computing will all be shared by the industry’s best and brightest.

Track Chairperson
Jeff Orr, Conference Content Director, AI World

2:30 PANEL DISCUSSION: Emerging AI Trends: Removing Bias and Explainable AI (XAI)
Moderator: Jeff Orr, Conference Content Director, AI World
Panelists: Heather Ames Versace, PhD, COO and Co-Founder, Neurala

3:40 PANEL DISCUSSION: Implementing Advanced AI Technologies in the Enterprise
Moderator: MIT Computer Science AI Lab (CSAIL)
Panelists: Ernie Feiteira, Manager of Strategy & Innovation, Liberty Mutual and additional to be announced

4:20 PANEL DISCUSSION: AI Hardware: Chipset and Device Revolution
Moderator: Aditya Kaul, Research Director, Tractica
Panelists: to be announced


Cognitive Computing

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Cognitive computing systems redefine the nature of the relationship between people and their increasingly pervasive digital environment. Who will build these new AI-on-board applications? And with the proliferation of AI technologies in the workplace, foresight must be used to understand its implications for productivity, jobs, skills and employee development, but also issues related to ethics, safety and responsibility.

Track Chairperson
Hadley Reynolds, Co-Founder & Managing Director, Cognitive Computing Consortium

2:30 PANEL DISCUSSION: Augmented Intelligence and Cognitive Applications for the Future of Work
Moderator: Steve Ardire, AI Startup Advisor & ‘Merchant of Light’
Panelists: Lolita Taub, Principal, Backstage Capital and others to be announced

3:40 A Model for Value Capture with Cognitive Applications
Ganesan Shankar, PhD, Assoc. Professor Technology, Operations, and Information Management, Babson College
Susan Feldman, Co-founder, Cognitive Computing Consortium

4:20 PANEL DISCUSSION: Emerging Standards for Ethics in AI – Fact or Fiction?
Moderator: Hadley Reynolds, Co-founder & Managing Director, Cognitive Computing Consortium
Panelists: to be announced


AI in Healthcare

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Track Chairperson
David Ledbetter, Lead Data Scientist, Children’s Hospital Los Angeles

2:25 Meshing AI and Human Cognition: Managing Risks of Ethics and Bias
John Mattison, MD, CIO, Kaiser Permanente

2:45 Avoiding Hype and False Conclusions About AI in Medicine: Key Concepts and Examples
Mike Zalis, MD, Associate Professor of Radiology, Harvard Medical School

3:40 INTERACTIVE PANEL DISCUSSION: AI and Advanced Algorithms in Healthcare from the Investors Perspective
Moderator: Navid Alipour, Co-Founder and Managing Partner, Analytics Ventures
Panelists: Josh Kellar, Partner and Managing Director, Boston Consulting Group (BCG) Dipa Talati Mehta, Managing Director, Sandbox Industries Jonathan Gordon, Director, NYP Ventures at New York-Presbyterian Multi-Channel ChatBots Strategy from an End User Perspective Sharad Gupta, Director of Enterprise Architecture, Blue Shield of California

4:20 Multi-Channel ChatBots Strategy from an End User Perspective 
Sharad Gupta, Director of Enterprise Architecture, Blue Shield of California 


AI in Pharma

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Session Chairperson
Dany De Grave, Senior Director, Innovation Programs and External Networks, Sanofi

2:25 Strategy and Application of AI in Closing the Loop from Clinical Trials to Discovery Biology
Carolyn Cho, PhD, Director, Immunology Therapeutic Area Pharmacometrics Lead, Merc

2:45 Generating a Business Case for Innovation: How Can AI Enable the Future of Clinical Trials?
Basker Gummadi, Digital Innovation Lead, Bayer

3:40 INTERACTIVE PANEL DISCUSSION: Can AI & ML Make Clinical Trials Faster, More Effective and Patient Centric?
Moderator: Craig Lipset, Head of Clinical Innovation, Pfizer
Panelists: Ted Slater, Global Head, Scientific AI & Analytics, Cray Balazs Flink, MD, Clinical Trial Analytics Lead, R&D Business Insights and Analytics, Bristol-Myers Squibb Chris Bouton, PhD, CEO, Vyasa Sara Holoubek, CEO, Luminary Labs

4:20 Exploring New Ways of Working in Regulatory: Sanofi’s Proof of Concept Pilot
Dany De Grave, Senior Director, Innovation Programs and External Networks, Sanofi

4:40 Implementing Digital and AI Strategies Across Organizations within Sanofi
Natalija Jovanovic, PhD, Head Digital Catalyst, Sanofi