The AI Table. Where AI experts come to share, learn, & cover topics that matter.
Join us as we Spearhead Technological & Societal Advancement
Researchers from MIT and McKinsey report an estimated 75–90% of current AI projects are failing. Our mission is to correct this — and to promote AI excellence. We create a forum for Technologists, Business Leaders, Government Executives, Researchers, and Policymakers, to share proven on-the-ground strategies for building out responsible and effective AI capabilities.
AI Reports & Policy Briefs
We author reports and policy briefs, grounded in rigorous analysis and sound data. These resources offer practical recommendations for trailblazers looking to effectively govern AI. We emphasize tackling the application of AI in ways that minimize or eliminate harm. Our findings can be used to inform important governance, public policy, and corporate investment decisions.
AI Resource Library
Our AI Resource Library is the world’s most comprehensive inventory of AI use cases, training, frameworks, policies, and best practice materials — all housed in one centralized, well-organized location. It’s designed to support AI decision-makers and practitioners in confidently navigating challenges and applying AI with forethought, skill, and precision.
AI Talks & Community
Proper communication drives AI learning and advancement. The AI table drives conversation via the AI Table Talk podcast, webinars, and in-person roundtables. This ecosystem connects leading practitioners, enabling them to share deployment expertise, operational risks, and lessons learned from integrating AI systems into real-world environments.
Recent Reports
Recent Articles
Moving Your Org from AI Experiments to an AI-Native Maturity Model
AI Accountability: Who's Responsible When Machines Decide?
Old Systems Are Blocking AI ROI at Financial Institutions
Building AI Responsibly Through Data Lineage and PII Auditing
Securing National AI: Keeping AI Data Local and Safe
Strategies for Successful Human AI Collaboration
A well-governed Semantic Layer is an essential component of Explainable AI
Scaling Enterprise AI: The Data Engineer's Guide to Integrating the Semantic Layer with MLOps
Supporting Intelligent AI Leadership
“The promise of emerging technology is boundless if we have the foresight to understand it and the fortitude to embrace the challenges.”
— Dr. Condeleeza Rice
Let’s grow together.
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