The cloud-based agentic AI platform aims to help human researchers overcome resource constraints and complex data challenges to accelerate science at scale.

As AI moves from prompts to agents, the focus is on optimising Human-AI workflows. That’s simply an AI evolution of customer-facing roles.

Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...

The tech giant is investing $2.5 billion in a new business unit called Microsoft Frontier.

Artificial intelligence is no longer just a tool consumers and businesses use to draft emails or generate images. A new generation of AI ...

Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

Despite C-suite optimism and more investment, there's a big gap between AI aspirations and enterprise readiness. The answer?

The biggest question now is which workflow will help you get something into production fast, not which cloud provider to use.

Unless you're coding or stress-testing benchmarks, the "latest and greatest" usually won't change how you use AI.

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.