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...
Category: Big Data, Analytical Data Platforms, AI and Data Science
Big Data, Analytical Data Platforms, AI and Data Science
Call for Participation — GenAI-X Project
We would like to invite you to participate in GenAI-X, an open initiative hosted by ODBMS.org that brings together leading experts to explore and share key insights on developing and working with Generative AI. The...
Agentic Debugging Live – Without a Safety Net
AI demos often look impressive, but they’re usually prerecorded, tightly scripted, and run in carefully controlled environments. Anthropic and Undo teamed up during the CppCon 2025 conference to showcase agentic debugging on real-world codebases...
On Assessing Data Readiness using the key signals 2025 revealed. Q&A with Paul Speciale
Q1. The scorecard makes it clear that 2025 still exposed fundamental weaknesses in how organizations approach data resilience, from untested recovery plans to unverified AI data lineage. When you talk to IT leaders about these...
On TrustModel for Compliant, Transparent AI Hiring. Q&A with Karl Mehta
Interview by Ramesh Chitor Q1 : Enterprise HR and legal teams are under pressure to adopt AI for talent while avoiding the pitfalls now in the spotlight with examples like Eightfold.AI. Can you give us some...
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 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 Powertools for AWS Lambda. Q&A with Leandro Cavalcante Damascena
Q1. As a core contributor to Powertools for AWS Lambda, how do you balance the trade-offs between feature richness and cold start performance? Cold start performance is always top of mind when we’re building...