For agents, the value is clearer still: structured JSON output, reusable commands and built-in skills that let models interact with Workspace data and actions without a custom integration layer.
OpenAI's $110B funding includes AWS as the exclusive third-party distributor for the Frontier agent platform, introducing an architectural split: Azure retains stateless API exclusivity; AWS gains ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
MinIO, the data foundation for enterprise analytics and AI, is debuting AIStor Table Sharing, a capability built into MinIO AIStor that allows enterprises to securely share their on-premises data ...
While OpenAI is bringing GPT-5.4 to its API and its AI-powered coding tool, Codex, it’s rolling out its reasoning model, ...
The Git suggests Google sees CLI as a cleaner alternative to Model Context Protocol (MCP) setups, which can require a lot of ...
AI scheduling, automated dispatch, GPS trip confirmation, and streamlined billing offer NEMT providers a faster, ...
Models will commoditize. Capabilities will converge. What will endure are the interfaces agents already rely on, and the data and execution capabilities behind them.
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
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