Category: AI, GenAI, Big Data, Analytical Data Platforms, Data Science-Blog Posts

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....

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...

The Good, the Bad, and the Ugly: Kätlin Pulk on What Generative AI Is Really Doing to Higher Education — and What Educators Should Do About It

Q1. You and Riina Koris chose the title The Good, the Bad, and the Ugly deliberately — a framing that signals a refusal to take either the optimistic or the catastrophist position that dominates most public discourse...