odbms.org

Prof. Roberto V. Zicari is the editor of -The Resource Portal for AI, Big Data, New Data Management Technologies and Data Science.

[odbms.org @odbmsorg]

The Autonomous Data Infrastructure Imperative: Paul Speciale on Why Enterprise AI Needs a New Operating Model
https://t.co/PoV3rE2q6B
@scality #AI

[odbms.org @odbmsorg]

The Playbook for Scale: Insights on the 2026 @InterSystems Impact Awards from @MIT Judge Andrea Kates
https://t.co/mCuEQUvdSj
#Innovation

[odbms.org @odbmsorg]

Can You Trust AI Enough to Act on It? Q&A with Biplab Banerjee @VoltActiveData
"The challenge in enterprise AI is not whether models are accurate, it is whether organizations can trust AI-driven outcomes enough to take action at scale."
https://t.co/JpEwqBSHoG
#AI

[odbms.org @odbmsorg]

https://t.co/eiB385Brq4

[odbms.org @odbmsorg]

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

[odbms.org @odbmsorg]

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

[odbms.org @odbmsorg]

Production AI is a Data Pipeline Problem: Paul Speciale on Why Storage is the Bottleneck Nobody Plans For.
https://t.co/PoV3rE2q6B
@scality #AI

[odbms.org @odbmsorg]

Impressive Is Not Enough: Julie Belião on What It Really Takes to Turn AI into Product Value
https://t.co/ZOw5b0GUOf
#AI @mozilla

[Kirk Borne @KirkDBorne]

A dialogue with Reva Schwartz on Measuring AI’s Real-World Impact: https://t.co/5sh6Wh8xMz by @odbmsorg

[odbms.org @odbmsorg]

new!
On #AI, #Governance, #Ethics, and #Societal impact. Interview with Lambert Hogenhout, Chief Data and AI at the @UN Secretariat.
https://t.co/EXAZFMWNDy

[odbms.org @odbmsorg]

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
https://t.co/YPFfHaHZEj

[Progress Software @ProgressSW]

📰 Progress News:

@InformatiqNews: UX shapes trust in GenAI → https://t.co/RBh9hsC0nC

@odbmsorg: RAG evolving into Agentic RAG → https://t.co/gjCmKuTSu5

@cmswire: DXPs shift to orchestration & #AgenticAI governance → https://t.co/UbOAeXbjQk

[Kirk Borne @KirkDBorne]

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: https://t.co/1BbCas9Lq4

[Kirk Borne @KirkDBorne]

Scaling Pandas to Petabytes — The Architecture and Tradeoffs of BigQuery DataFrames: https://t.co/3EtchWefBz by @odbmsorg
⬇️

https://t.co/fmJ1boJWHo

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.

[odbms.org @odbmsorg]

#new MARCH 16, 2026
MySQL Rockstar 2025. Q&A with Umesh Shastry
https://t.co/4gg7hdxtm2
@MySQL @Oracle #database #databases #opensource

[odbms.org @odbmsorg]

💡 How do you scale pandas to petabytes without rewriting the codebase?
Fascinating new interview with Ivan Santa Maria Filho, Google BigQuery's "BeyondSQL" group.
https://t.co/xwpOw9hVcv
#BigFrames, #BigQuery, #BigQueryDataFrames, #Cloud, @Google #opensource #Python #Pandas,

[odbms.org @odbmsorg]

🔌 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.
https://t.co/6ZuKtgCy40
@scality #Backup #cyber

[odbms.org @odbmsorg]

On Semantic RAG. Q&A with Imran Chaudhri
https://t.co/VNTeSCwzTj
#RAG #AI @MarkLogic

[odbms.org @odbmsorg]

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.

https://t.co/N2uegqdPBP

[odbms.org @odbmsorg]

On #AI and the #Future of #RailSystems: Interview with Roland Edel, CTO, @SiemensMobility

https://t.co/4CLzGOIB5k
" Analytics, algorithms and AI deliver tangible operational benefits—from more efficient planning to reduced energy consumption and more stable performance."

[odbms.org @odbmsorg]

#2026Predictions
On Assessing Data Readiness using the key signals 2025 revealed. Q&A with Paul Speciale
https://t.co/Ibo7CCYWyA
@scality