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LLMs became reliably good at writing SQL only six or nine months ago. Soon agents will handle boring data tasks, but automated insights will take longer.
Agents need fast, fresh, real-world data to stay grounded and avoid errors. Microsoft’s new grounding service helps solve this problem.
As enterprises depend more and more on AI agents and automations, having a reliable orchestration layer above keeps workflows moving smoothly.
SnapGPT helps users of the SnapLogic Agentic Integration Platform plan, build, understand, and operate integrations through natural language.
AI makes it too easy to create slide decks, reports, blog posts, and software that nobody cares about and nobody needs. Use it when it matters.
The new open-weight model targets enterprise software engineering and multimodal workloads as enterprises weigh deployment efficiency alongside AI model performance.
Context should work the same way as an API. Instead, most teams build the opposite of an API.
The enterprise AI nightmare is not a killer robot, but an erosion of our ability to see and control what’s running in our own environments.
The lower prices are more likely to accelerate enterprise AI deployments than reduce CIO budgets, analysts say.
Experimental IntelliJ IDEA plugin for Kotlin/JVM projects is used to delegate runtime logic to an LLM from Kotlin code.