Builds a governed, business-object path from enterprise DBs to AI agents, opening opportunities for AI platforms, data ...
Jedify, the autonomous context graph for data-intensive agentic applications and workflows, today announced the findings of a new benchmark study on context graph architectures, which pre-encode ...
The real question for leadership is not whether AI will replace the DBA, but what AI should be allowed to decide unsupervised ...
Agentic artificial intelligence runs on data, so Salesforce Inc. today announced it is launching Headless Data 360 for Model Context Protocol to provide that data directly to agents, allowing them ...
SOFTSWISS rebuilt security analytics around ClickHouse, open-source collection and tiered storage to improve query speed, ...
Context size and data quality don’t get as much attention as GPU spend, but they’re driving up the same bills. Be sure the ...
TiDB powered by PingCAP, the cloud-native and AI-native database company, today announced that Kimi.ai, the AI platform developed by Moonshot AI, is ...
The challenges associated with shipping an agent do not live in the model but in the infrastructure around it: authorization, ...
The first wave of enterprise AI bolted language models onto dashboards. The second wave standardized the plumbing between agents and systems. Neither closed the ...
Build a lightweight behavioral anomaly detection layer on top of existing audit logs to catch suspicious logins, rapid ...
Postgres, minus the terminal. Still Postgres underneath.
AI agents like Claude Code automate coding tasks, shifting software engineers' roles toward designing boundaries and feedback ...