Applied Data Science Invited Speakers
The Applied Data Science Invited Talks will provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising.

Toward Responsible AI by Planning to Fail
Saleema AmershiMicrosoft Research

Next-generation frameworks for Large-scale AI
Anima AnandkumarNVIDIA & Caltech

Artificial Intelligence for Healthcare
Dorin ComaniciuSiemens Healthineers

Data Paucity and Low Resource Scenarios: Challenges and Opportunities
Mona DiabFacebook AI & The George Washington University

Multimodal Machine Learning for Video and Image Analysis
Shalini GhoshSamsung Research America

Preserving Integrity in Online Social Media
Alon Halevy
AI: Healthcare's prescription for transformation
Taha Kass-HoutAmazon

Straddling the boundary between contribution and solution driven science
Daniel MarcuAmazon

A perspective from the first U.S. Chief Data Scientist
DJ PatilDevoted Health

Representation learning, inference, and reasoning
Fernando Pereira
Innovating with Language AI
Ashwin Ram
Using Machine Learning to Detect Cancer Early
Jan SchellenbergerGRAIL

Unleashing the Power of Subjective Data: Managing Experiences as First-Class Citizens
Wang-Chiew TanMegagon Labs
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