The Linux Foundation's newest project takes a proven enterprise data sharing protocol and stretches it across AI models, ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
LTAP is the name of Databricks' new architecture, with which operational databases and analytical systems should only require ...
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
Databricks declares the end of pipelines with a unified platform for operational and analytical data
Databricks Inc. is using its Data + AI Summit today in San Francisco to unveil a new data architecture designed to eliminate one of enterprise computing’s oldest bottlenecks: the separation between ...
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 ...
Avaya introduced new capabilities for Avaya Infinity on Wednesday. These include out-of-the-box, real-time insights for customer experience (CX) business managers, support for human and AI agent ...
Databricks Lakebridge is a free, open-source toolkit developed by Databricks Labs designed to automate and accelerate migrations from legacy data warehouses and ETL platforms to Databricks SQL and the ...
Managing a modern enterprise data landscape in 2026 is a lot like running a high-speed, global railway network. You have massive freight trains of legacy data leaving on-premise servers in Mumbai, ...
Microsoft has bought Osmos, an AI-assisted data engineering platform, in a bid to enrich its Fabric data platform, encroaching on so-called partners' markets. Founded in 2019, Osmos was already making ...
The latest trends and issues around the use of open source software in the enterprise. Industrial AI company Cognite has detailed a new partnership with data engineering company Databricks with plans ...
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