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

Big Data, Analytical Data Platforms, AI and Data Science

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...

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...

AI for Smarties: A Conversation with Bertrand Meyer

Q1. You open AI for Smarties by acknowledging that you kept meeting highly educated people who were fascinated by AI but, in your words, “had no clue of what’s inside” — unable to answer what a neuron...