Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
* This article is reconstructed based on a portion of the book. More in-depth content (design and concrete examples) is summarized in the book, so please check it out if you are interested. By the ...
Snowflake and Databricks—these two cloud data platforms have often been discussed in terms of 'which one to choose.' This book is an 'unofficial guide' that carefully explains the reality of ...
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...
This research is part of a joint initiative between the Cloud Security Alliance (CSA) and OWASP AI Exchange, building upon the previously published Agentic AI Red Teaming Guide. The objective of this ...
TL;DR -- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic. The agent ...
Databricks SQL Documentation - Official SQL reference covering SQL Editor, warehouses, and query optimization tested on the exam. Databricks AI/BI Dashboards Documentation - Official guide to ...
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