Category: Big Data, Analytical Data Platforms, AI and Data Science

Big Data, Analytical Data Platforms, AI and Data Science

Authentication Is Not Authority: Joe Lichtenberg and Benjamin De Boe on Giving AI Agents Safe Access to Operational Data

Q1. For years, the enterprise data conversation was dominated by getting data into centralized stores — warehouses, lakes, lakehouses. You describe the current shift as the inverse challenge: organizations now need to get data...

22 Chapters, One Question: Barry Solaiman on What the World’s Legal Systems Get Right and Wrong About AI in Healthcare

Q1. You and your co-editor I. Glenn Cohen brought together a genuinely international collection of legal experts spanning Asia, Europe, and the US, examining both major religious and secular ethical traditions alongside legal frameworks....

Research report:  Overcoming the limitations of coding agents in complex software systems 

Strategies for engineering leaders in financial services, silicon design, networking, and other mission-critical industries INTRODUCTION THE MODERN ERA OF SOFTWARE ENGINEERING The volume of code created is growing at an unprecedented rate. But we all know...

The Airplane Doesn’t Flap Its Wings: Maharaj Mukherjee on Redefining Intelligence for the Age of AI

Q1. You and Dr. Monideepa Roy argue for a mechanism-agnostic definition of intelligence — one based not on how a system is built, but on what it demonstrably does: perceive, predict, learn, adapt, collaborate, and...

Everyone Has Access to a Personal Jarvis: Kartik Paramasivam on Agentic Engineering, GPU Procurement, and What Actually Breaks at Scale

Q1.  Kartik, you have built massive data infrastructures at both LinkedIn and Pinterest. As we transition from traditional software engineering to “Agentic Engineering,” how do the core competencies of a top-tier engineer change when...