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: Expert Articles
This section contains dedicated contributions from ODBMS.ORG’s Panel of Experts.
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...
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 Brazil’s MySQL landscape. Q&A with Vinicius Grippa
“Next year, we will be celebrating 10 years of the community“ Q1. Looking at the themes presented at MySQL BR Conf 2025—from high availability implementations to modern data architectures and AI integration—what do these...
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...
Between Formal Systems and Belief Systems: A Journey Through Complexity. A Conversation with Stéphane Grumbach.
Q1. You’ve moved from working on query languages to international relations, diplomacy, and social sciences. What prompted that shift? Was it a gradual evolution or did something specific make you feel that technology research...
On Databases for real-time analytics on streaming data. Q&A with Karunakar Kotha and Andres Bolanos
Q1. Traditional relational databases like SQL Server were designed for transactional workloads, yet organizations increasingly need real-time analytics on streaming data. You’ve worked extensively with both SQL Server and Fabric’s Real-Time Intelligence databases. Beyond the...