The Insights page brings forward the voices of our sponsors, forum members, and advisors—experienced leaders who have helped guide the center's research over many years. In this space, they share perspectives on the opportunities, risks, and strategic challenges shaping the fast-moving AI landscape. Their insights connect real-world experience with our research, highlighting how industry leaders are interpreting—and responding to—the changing technologies, market structure and governance of the AI ecosystem.
John Ottman and Suresh Mani
Solix
A perspective on the evolving AI landscape from industry practitioners, exploring practical considerations for enterprise AI adoption and implementation strategies.
Read POVBarry Rudolph (Spectra) and Christine Telford Teale (IBM)
Insights from seasoned technology leaders on navigating the complexities of AI governance, risk management, and strategic decision-making in large organizations.
Read POVAs artificial intelligence systems grow in scale, complexity, and capability, the question of how these systems can be effectively governed is increasingly urgent. This project is developing a cross-sector analysis of how industry and public sector leaders are confronting the challenges of developing effective governance policies and ensuring accountability in frontier AI development.
While the 1980s demanded defensive coding and the 2010s formalized data quality management practices, agentic AI requires a new paradigm. This project introduces Zero Trust Data Quality (ZTDQ), a framework that applies zero trust principles to data quality assessment.
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