Operational Database Management Systems
Cambridge, UK – June 24, 2026 Undo, the technology that gives developers the runtime context needed to solve the most challenging problems in the most complex codebases, today announced the release of its new AI...
Q1. The core architectural decision in this system is to evaluate all fraud rules atomically within a single transaction using VoltDB’s stored procedures rather than checking rules sequentially across separate queries or services. Can you...
by Karim Keshavjee, MSc, MD, MBA Will generative AI lead to cognitive atrophy — or can it actually accelerate human thinking? Karim Keshavjee, physician and health informatics professor at the University of Toronto, argues...
John Brandt Brodersen (1 and 2), Ilaria Amelia Caggiano (3), Pedro Kringen (4), Vince Istvan Madai (5), Walter Osika (6 and 7), Giovanni Sartor (8 and 9), Ellen Svensson (6 and 10), Magnus Westerlund (4), Roberto V. Zicari (11) Assessments of trustworthiness have become a cornerstone of responsible AI development. Especially...
Q1. Your two UC Berkeley SCET articles — “A Nightmare on LLM Street”(*) and “Would You Like to Play a Game?” (**)— draw a sharp distinction between two fundamentally different AI threat classes: the rational,...
Q1. You’ve spent over 30 years watching technology markets form, mature, and get disrupted — from enterprise software to data infrastructure to AI. What made this moment feel different enough to start something new rather...
Q1. Most vector databases were architected from the ground up for cloud-first, always-connected environments. As the author of Vector Databases for Enterprise AI and the CTO behind VectorAI DB, how do you explain the fundamental...
Q1. You’ve spent over 15 years working across AI and multilingual technology, often joining organizations before the direction was fully clear. In your experience, what is the most common mistake teams make when they...
Q1. Your book argues that general intelligence will emerge from orchestrated cooperation among specialized LLM agents rather than from ever-larger monolithic models. What led you to this thesis, and can you explain why collaborative...
Q1. Reva, you’ve spent two decades evaluating automated technologies in high-stakes settings — from your work as a forensic scientist at the U.S. Secret Service to leading NIST’s AI risk management efforts. How has your...