When Databricks claimed to have cracked an age-old database problem, it came with a clear marketing message: "One data, zero compromises, zero copies." Inevitably, that led engineers to search for ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...
Performance and governance layer for the Databricks Genie API. Deploy as a Databricks App — callers swap the base URL, zero code changes required. Genie translates natural language to SQL. The Gateway ...
Detailed Summary of Lex Fridman Podcast: AI State-of-the-Art 2026 with Nathan Lambert and Sebastian RaschkaThis episode (YouTube: https://www.youtube.com/watch?v ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Every enterprise IT executive faces the same AI paradox: their most valuable data sits ...
Another year passes. I was hoping to write more articles instead of just these end-of-the-year screeds, but I almost died in the spring semester, and it sucked up my time. Nevertheless, I will go ...
Today’s AI-first environment is pushing traditional enterprise data architectures to a breaking point. Organizations store critical business information across fragmented systems, with data warehouses ...
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