.
@DataboxHQ uses LangSmith to evaluate their multi-turn analyst agent Genie. An inside look: https://
databox.substack.com/p/how-we-evalu
ate-a-multi-turn-agent
…
DATA
-

Databox Evaluates Multi-Turn Analyst Agent Genie Using LangSmith
By
–
-

Google TurboVec: Shrink Vector Embeddings from 31GB to 4GB
By
–
Google's new algorithm just shrunk 31GB of vectors into 4GB. Storing embeddings for RAG eats memory fast. Ten million documents in float32 takes 31 GB of RAM. A new open-source Rust vector index changes that math. TurboVec fits the same corpus into 4 GB. It runs on
-

Free course on delivering AI-powered analytics and dashboards
By
–



Modern analytics needs more than dashboards. It needs a new foundation. This free one-hour course covers:
• Delivering trusted, AI-powered insights using unified data, governance, business logic, and the lakehouse
• AI/BI Dashboards, Genie spaces, semantic layers, and data -
AI Governance Wins Over Speed in Scaling
By
–
Here’s the bottom line: AI won’t be won by who moves fastest.
It’ll be won by who governs best. If your data isn’t structured, contextualized, and controlled, scaling AI will only amplify problems. I break this down in detail in my latest video with Collibra. Check out the -
AI bottleneck is unstructured data not models
By
–
The real bottleneck isn’t models. It’s unstructured data. I saw a side-by-side demo that made this obvious: → Raw data environment
• lower accuracy
• higher risk
• inefficient outputs → Metadata-enriched environment
• better decisions
• faster results
• measurable -

India Launches AIKosh Open AI Platform for Researchers and Startups
By
–
AIKosh is India’s open AI platform designed to make datasets, models, tools, and compute resources more accessible for researchers, startups, developers, institutions, and public sector innovation. Built under the IndiaAI Mission, AIKosh brings together AI resources in one place
-

Databricks CEO: AI’s challenge is context, not intelligence
By
–
"AI doesn't have an intelligence problem. AI has a context problem. The top-of-mind question for every CEO on the planet is: How do we feed it that context? And that context is in the data." Databricks co-founder and CEO @alighodsi joined @jimcramer on @MadMoneyOnCNBC to discuss
-
AI increases information quantity but decreases quality
By
–
Great, AI has increased the quantity of information and decreased the quality. Just what we needed.
-
SAP Business Data Cloud integrates with Databricks for AI-ready data
By
–
.@SAP Business Data Cloud now automatically syncs semantic metadata and governance tags into Databricks Unity Catalog, making SAP data more understandable, discoverable, and AI-ready from the moment it’s accessed.
— Databricks (@databricks) 20 mai 2026
Highlights:
• Automatic sync of descriptions and primary/foreign… pic.twitter.com/OsD1N8Booe.
@SAP Business Data Cloud now automatically syncs semantic metadata and governance tags into Databricks Unity Catalog, making SAP data more understandable, discoverable, and AI-ready from the moment it’s accessed. Highlights:
• Automatic sync of descriptions and primary/foreign -

AI-Powered Query-Aware Compression for Enhanced Search Accuracy
By
–
We've productionized query-aware compression for faster, cleaner, more-accurate search. Better context is better than more context. Our system cuts context tokens up to 70% while improving answer quality.