Operational Database Management Systems
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...
Q1. Can you tell us about the Center for United Nations Constitutional Research (CUNCR) — its origins, its focus on UN Charter reform and multilateral institutional design, and why a think tank grounded in constitutional...
Closing out three days of innovation at READY 2026, John Paladino celebrates the Customer Impact Award winners — chosen by a distinguished MIT judging panel. The session covers the rigorous award criteria (measurable impact,...
Q1. zHealth has delivered projects across NT Health, NSW Health, Mater, SWARH, and Austin Health, very different healthcare organisations with very different legacy systems, governance structures, and clinical priorities. When you go into a...
InterSystems Asia READY 2026 has come to a successful close, and we’re excited to share the highlights with you. Key topics include Next-Generation EHR & AI at the CenterExplore how AI is transitioning from ambition...
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...
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...
Q1. You have written about “acceleration AI ethics” — an approach that argues for using ethics to enable and accelerate GenAI innovation rather than primarily to constrain it, in contrast to the precautionary approach that...
Q1. What actually distinguishes a rigorous, defensible bias audit from something that only looks like due diligence — and where do organizations underestimate what “evidence” means to a regulator or a court? In enterprise...
Q1. Your team’s research shows that introducing graph-based tools into a RAG system can significantly increase the precision and recall of factual correctness, halve the number of hallucinated answers, and achieve the highest fine-grained...