
Volume 342, Issue 4 · 12 articles from 2 issues
Databricks provides a primer on AIOps and how AI and ML apply to IT operations. Read more
Databricks IT explains how it lets employees work securely from personal devices without sacrificing productivity. Read more
Databricks argues that default web search tooling is a weak link in enterprise AI agent quality. Read more
Databricks describes how capital markets firms are modernizing the trade lifecycle using governed data and AI. Read more
Databricks lays out five criteria for choosing a database that can support AI agent workloads. Read more
Healthcare AI company Concurrence uses Databricks Unity Gateway to govern roughly 1.2 trillion tokens a year of clinical agent traffic. Read more
A Databricks security engineer built an agent-based layer that automates routine security reviews while escalating high-risk cases to humans. Read more
Databricks introduced Genie One MCP so any MCP-compatible AI agent can get governed business context from Genie Ontology. Read more
S&P Global Energy used Databricks Genie Agents exposed as managed MCP servers to make its structured data conversational for AI agents. Read more
Databricks showed how to run open-weight 'decision model' Jev variants like SemIf-OpenJev directly from SQL using serverless GPUs. Read more
Databricks launched Unity Gateway CLI so admins can centrally govern coding agents while developers switch between them with one command. Read more
Databricks made the Genie One MCP server generally available to all customers, now managed within Unity Gateway. Read more