Inside Building a Data and AI Platform with PostgreSQL: Michael Schrage, MIT Media Lab скачать в хорошем качестве

Inside Building a Data and AI Platform with PostgreSQL: Michael Schrage, MIT Media Lab

Michael Schrage, Research Fellow at the MIT Sloan School of Management’s Initiative on the Digital Economy, discusses his contributions to EDB’s O’Reilly book, Building a Data and AI Platform with PostgreSQL. Drawing on decades of research into the behavioral economics of models, metrics, and innovation, Michael challenges a core assumption many organizations take for granted: that data is an asset. If that claim is true, he argues, it must be measurable. Without disciplined, risk-adjusted metrics for return on data, organizations are left with slogans rather than accountability. The discussion explores why generative and agentic AI should be used to generate insights rather than deterministic answers, how virtuous cycles of learning and measurement outperform static processes, and why treating models as “talent” reframes leadership, productivity, and innovation. Michael also examines how AI enables more intelligent feedback loops, helping organizations learn faster in dynamic environments where traditional productivity models fall short. This video is part of the Inside Building a Data and AI Platform with PostgreSQL series, featuring contributors discussing the ideas behind the book and what they mean for the future of data, AI, and open source. Download Building a Data and AI Platform with PostgreSQL: https://www.enterprisedb.com/resource...