Getting to True Predictive Risk: Will Data Accuracy Thwart AI’s Potential?


Posted on in Presentations

Dreamt of predictive risk, yet thwarted by inadequate storage, computing, and ML? The jump in LLMs is a step forward but ignores a core part of the AI supply chain--accurate data--hindering progress toward predictive risk. This panel will inspire attendees to seek accurate, data-validated AI/ML models as a core component of AI supply chain security and a critical enabler toward predictive risk.

Participants
Nadya Bartol

Moderator

Managing Director, Boston Consulting Group

Hyrum Anderson

Panelist

CTO, Robust Intelligence

Edna Conway

Panelist

CEO| Board Director | Sr. Nonresident Fellow , EMC ADVISORS | Active Cypher, Attabotics, Critical Start, Cyber Re | Carnegie Endowment for International Peace

Andrea Little Limbago

Panelist

Senior Vice President, Applied AI, Interos


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