SiliconANGLE, Wednesday, June 17th, 2026
Key Takeaways From Day Two of the Databricks Data + AI Summit
Databricks highlights AI cost concerns and unveils tools for agent governance and ML automation at its summit.
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Databricks — Archive
118 articles · page 3 of 3
BigDATAwire, Wednesday, June 17th, 2026
AI Is Breaking Traditional Data Architectures. Databricks Thinks LTAP Is the Fix
Databricks introduces LTAP to unify transactional and analytical data on one storage copy, eliminating brittle ETL pipelines for AI.
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Databricks, Wednesday, June 17th, 2026
What's New in the AI Platform: Agents for ML Engineering, Our Deep Learning Platform, and New Capabilities for Real-Time ML
Databricks launches a coding agent, serverless GPU training, and real-time ML serving to accelerate AI development.
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Databricks, Wednesday, June 17th, 2026
Design Beautiful Dashboards in AI/BI
Databricks shares design principles for building professional, on-brand dashboards in AI/BI.
more → Databricks, Wednesday, June 17th, 2026
What's New in Databricks Platform Security and Compliance at Data + AI Summit 2026
Databricks unveils new security, networking, and compliance features to help enterprises scale AI safely across clouds.
more → Databricks, Wednesday, June 17th, 2026
What's Coming Next to Free Edition
Databricks expands its Free Edition with Genie Code, serverless GPUs, Lakebase, Agent Bricks, and Lakeflow Designer.
more → Databricks, Tuesday, June 16th, 2026
Introducing CustomerLake: The Agentic CDP Embedded in Databricks
Databricks introduces CustomerLake, an agentic customer data platform embedded in the Lakehouse.
more → Databricks, Tuesday, June 16th, 2026
Introducing Lakehouse//RT: Real-Time Performance on a Unified Lakehouse
Databricks launches Lakehouse//RT, delivering millisecond query performance directly on the lakehouse.
more → Databricks, Tuesday, June 16th, 2026
Introducing Genie One, Genie Agents, and Genie Ontology
Databricks launches Genie One, Genie Agents, and Genie Ontology to deliver a data-smart AI coworker.
more → Databricks, Friday, June 12th, 2026
Enabling Evolutionary Database Development: Database Branching With Lakebase, Part 3
Databricks concludes its Lakebase series on database branching for versioned, evolutionary development.
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Databricks, Friday, June 12th, 2026
Talk to All Your Data, Wherever It Lives
Databricks announces natural-language querying across data wherever it lives, without migration.
more → Databricks, Thursday, June 11th, 2026
Ingesting the Milky Way: Petabyte-Scale With Zerobus Ingest
Databricks shows petabyte-scale data ingestion using Zerobus Ingest on astronomical datasets.
more → Databricks, Thursday, June 11th, 2026
Unlocking Semantics for AI: How Mercedes-Benz Korea Built Trusted Talk to Data at Scale
Databricks details how Mercedes-Benz Korea built trusted conversational data access at scale.
more → Databricks, Thursday, June 11th, 2026
Geospatial Unbounded: Spatial SQL GA With AI/BI Maps, Delta Sharing, and Iceberg V3
Databricks announces GA of Spatial SQL with AI/BI Maps, Delta Sharing, and Iceberg v3 support.
more → Databricks, Wednesday, June 10th, 2026
Announcing the Databricks Storage Ecosystem: Governing the Enterprise Data Estate, Wherever It Lives
Databricks unveils a storage ecosystem to govern enterprise data across on-prem and hybrid, without replication.
more → Databricks, Thursday, June 4th, 2026
3x Faster Search: Parallel Test-Time Scaling With Instructed-Retriever-1
Databricks announces Instructed-Retriever-1, a retrieval-specialized model that achieves 3x faster search and 2x faster answer generation through parallel test-time scaling.
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Databricks, Tuesday, June 2nd, 2026
Introducing Cross-Engine ABAC
Databricks announces Beta of cross-engine ABAC, enabling attribute-based access controls on external engines through Unity Catalog.
more → Databricks, Tuesday, June 2nd, 2026
Beyond Parsing X12: Closing the Gap for Revenue Cycle Workflows in Healthcare
Genpact and Databricks built an operational workbench to help healthcare billers move from spreadsheets to efficient claims processing.
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