The Ludic Fallacy, and what it means for your data
By David Rolfe Some of you will be aware of the concept of a “Black Swan Event”. The term was coined by Nicholas Taleb, and refers to a rare event with significant consequences. Something so...
Tagged: AI
On Semantic RAG. Q&A with Imran Chaudhri
Q1. Imran, one of the most compelling promises of Semantic RAG with Progressive Graphs is improved accuracy and reduced risk in AI systems. Can you walk us through how this approach delivers on these...
F5 and Scality expand partnership to deliver secure, high-performance data infrastructure for AI workloads
Joint solution combines F5’s Application Delivery and Security Platform with Scality’s S3-compatible scale-out object storage to accelerate AI and data-driven applications across hybrid-cloud environments Munich, Germany, February 18, 2026: F5 (NASDAQ: FFIV), the global leader in...
On RAG evolving into Agentic RAG. Q&A with Eudald Camprubí
Q1. How does the shift toward no-code RAG platforms change the accessibility landscape for organizations implementing generative AI, and what are the potential trade-offs between ease of use and customization flexibility that enterprises should...
A Conversation with Mark Lockareff: The Existential Threat Hiding in Your Data Stack
Q1. Most executives understand they need better data and better AI models, but the movement of data isn’t typically on their radar. When you talk to boards and C-suites about why milliseconds matter to...
On the Evolution of Python. Q&A with Diego Russo
Q1. How is Python evolving its infrastructure and tooling to support the explosive growth of AI and machine learning workloads, particularly around vector operations and large-scale data processing? For AI and ML workloads I see...
On Vector Databases. Q&A with Akmal Chaudhri
Q1. You’re planning to write a new book exploring vector databases—what is it about this particular moment in data technology that makes you want to dive deep into this subject now? We’re at a...
On AI certification. Q&A with Rahul Padigela
Q1. You mentioned that fragmented toolchains can extend AI development timelines by 40-60%. What specific pain points did you observe in the field that led Scality to develop this industry-first certification program? Were there particular...
On AI and Trust. Q&A with Karl Mehta
Interview by Ramesh Chitor Q1. What inspired you to create TrustModel.ai, and what problem were you aiming to solve in the AI space? The inspiration came from witnessing a dangerous disconnect between AI’s transformative...
Nikesh Kotecha on Blueprint for Trust: How ChatEHR Establishes a Framework for Responsible AI in Clinical Care
Stanford Health Care, part of Stanford Medicine, was awarded a 2025 InterSystems Impact Award for its AXIOM initiative for fast access to electronic health records. In turn, AXIOM underpins the ChatEHR medical chatbot that Nikesh...