A model can reason about a task. Completing that task takes more: the right context, tools, execution environment, and controls, and an agent loop that brings them together. Microsoft’s unified harness strategy brings a shared execution foundation across our agent experiences while preserving customer choice. In Microsoft Foundry, that means you can choose a supported…
Turn subsurface uncertainty into decision-ready insight Drilling campaigns are among the most expensive and operationally complex activities in the energy industry. Rigs, crews, equipment, and logistics are scheduled months in advance, leaving little room for delay. Every hour of downtime can carry significant costs. Geoscientists and engineers rely on reservoir models to understand the subsurface…
Across my conversations with leaders in government, critical infrastructure and regulated industries, one priority consistently rises to the top: putting technology to work on their most important systems while maintaining the control those systems require. This challenge is becoming more important as advanced cloud and AI capabilities move into public services, regulated processes and essential…
As organizations apply AI to more business-critical and data-intensive workloads, AI processing is moving closer to where data is created, decisions are made, and operations take place. Manufacturers can analyze confidential production data next to the systems that generate it. Pharmaceutical companies can apply AI to clinical trials within controlled environments. Government agencies can run…
The growing AI landscape is giving enterprises more choice in how they build, customize, and deploy increasingly capable models. Open-weight models are an important part of that landscape. They give enterprises access to model weights and greater flexibility to inspect, evaluate, modify, and run models within their own environments. While that flexibility can be valuable,…
Building a cloud-native foundation for AI The relationship between model innovation and AI infrastructure has never been more clear; as AI becomes more capable, the platform underneath it matters even more. Agents are fundamentally changing how applications work, and with that, what organizations need from the cloud. Learn how to build a cloud-native AI foundation…