odbms.org

Most vector DBs assume your data can move freely to the cloud. For healthcare, finance, and government — it can't. New interview with @Actian CTO Emma McGrattan 👇 #VectorDatabases #EnterpriseAI #EdgeAI #AgenticAI

Production AI is a Data Pipeline Problem: Paul Speciale on Why Storage is the Bottleneck Nobody Plans For. odbms.org/2026/05/produc… @scality #AI

Impressive Is Not Enough: Julie Belião on What It Really Takes to Turn AI into Product Value odbms.org/2026/04/impres… #AI @mozilla

A dialogue with Reva Schwartz on Measuring AI’s Real-World Impact: odbms.org/2026/03/beyond… by @odbmsorg

new! On #AI, #Governance, #Ethics, and #Societal impact. Interview with Lambert Hogenhout, Chief Data and AI at the @UN Secretariat. odbms.org/blog/2026/04/o…

Beyond the Benchmark: Reva Schwartz on Measuring AI’s Real-World Impact. 💡 Most AI evaluations measure what a model outputs. Almost none measure what people actually do with those outputs — and that gap is where the real risks live. #AI odbms.org/2026/03/beyond…

📰 Progress News: @InformatiqNews: UX shapes trust in GenAI → prgress.co/4qSLeLD @odbmsorg: RAG evolving into Agentic RAG → prgress.co/4a79OBm @cmswire: DXPs shift to orchestration & #AgenticAI governance → prgress.co/3MkwZ3i

See this interview by @odbmsorg with the CTO of Siemens Mobility, which cuts to the heart of why so many AI initiatives fail—even when the technology works perfectly: "Cultural change often matters more than the algorithms themselves." Full interview: lnkd.in/djZSTAxn

Scaling Pandas to Petabytes — The Architecture and Tradeoffs of BigQuery DataFrames: odbms.org/blog/2026/03/t… by @odbmsorg ⬇️ docs.cloud.google.com/bigquery/docs/… BigQuery DataFrames (BigFrames) is an open-source Python library that provides a Pandas-compatible API for analyzing data stored in BigQuery. Unlike Pandas, which loads data into local memory, BigFrames translates operations into BigQuery SQL, enabling data scientists to work with terabyte-scale datasets using familiar Pandas syntax.

#new MARCH 16, 2026 MySQL Rockstar 2025. Q&A with Umesh Shastry odbms.org/2026/03/mysql-… @MySQL @Oracle #database #databases #opensource

💡 How do you scale pandas to petabytes without rewriting the codebase? Fascinating new interview with Ivan Santa Maria Filho, Google BigQuery's "BeyondSQL" group. odbms.org/blog/2026/03/t… #BigFrames, #BigQuery, #BigQueryDataFrames, #Cloud, @Google #opensource #Python #Pandas,

🔌 Cyber Resilience Angle: 👉 Is Your Backup Architecture Ready for a Ransomware Attack? New Q&A with Paul Speciale (CMO, Scality) on designing cyber-resilient backup targets. odbms.org/2026/03/design… @scality #Backup #cyber

On Semantic RAG. Q&A with Imran Chaudhri odbms.org/2026/02/on-sem… #RAG #AI @MarkLogic

Agentic C++ Debugging Live - Without a Safety Net In this talk, Daisy Sophia Hollman (Anthropic) and Mark Williamson (Undo) demonstrate agentic debugging on real C++ codebases — in front of a live audience, taking questions and suggestions in real time. odbms.org/2026/02/agenti…

On #AI and the #Future of #RailSystems: Interview with Roland Edel, CTO, @SiemensMobility odbms.org/blog/2026/02/o… " Analytics, algorithms and AI deliver tangible operational benefits—from more efficient planning to reduced energy consumption and more stable performance."

#2026Predictions On Assessing Data Readiness using the key signals 2025 revealed. Q&A with Paul Speciale odbms.org/2026/01/on-ass… @scality

On TrustModel for Compliant, Transparent AI Hiring. Q&A with Karl Mehta Interview by Ramesh Chitor odbms.org/2026/01/on-tru… Interview by Ramesh Chitor #AI

On #RAG evolving into Agentic RAG. Q&A with Eudald Camprubí  "The shift toward no-code Retrieval Augmented Generation platforms makes generative AI far more accessible ". odbms.org/2026/01/on-rag…

A Conversation with Mark Lockareff CEO @gridgain : The Existential Threat Hiding in Your Data Stack odbms.org/2026/01/a-conv…