Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Genie Ontology aims to unify business definitions across systems, but analysts say data quality and governance will make or break adoption. First came vector databases, then RAG. Now, the next ...
June 8 (Reuters) - Data analytics software firm Databricks has discussed raising funds in a round that could begin next month and value it at between $165 billion and $175 billion, The Information ...
Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
As AI agents become increasingly capable of performing research, executing workflows, and making decisions autonomously, a ...
Most enterprise RAG pipelines start the same way: a text parser converts web pages and documents into plain text so they can be chunked and indexed for retrieval. That conversion step destroys ...
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While other AI startups have started the IPO process this year, Databricks is looking toward its next funding round.
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