Beyond the benchmark: How an adaptive approach drives scientific discovery

By Dustin Ward

For research and development (R&D) organizations, the promise of agentic AI is not a better one-time answer. It is a new way to explore complex scientific and engineering problems: pursuing multiple hypotheses, validating them against evidence, learning from what does not work, and adapting their approach as new information becomes available. This unique nature of…

Enterprise AI transformation relies on the end-to-end platform: Azure was built for this moment

By Dustin Ward

Summary The recognition for Microsoft over the past couple of weeks comes down to models, infrastructure, data, applications, and developer tools working as one system when AI moves into production. Enterprise AI is moving into production, and our customers are becoming multi-model. Organizations will use frontier models where capability matters, and smaller, specialized, and open-weight…

Inside Microsoft’s marketing team: Scaling expertise with AI

By Dustin Ward

Business leaders are facing a familiar challenge at an unfamiliar scale. Every organization is being asked to move faster as markets change quickly, customer expectations continue to rise, and technology advances at a pace that can feel overwhelming. Teams are expected to deliver greater results, often with the same resources they had before. AI is…

The Economics of Agent Optimization: Four ways to lower the cost

By Dustin Ward

This blog post is the second of a four-part series called The Economics of Agent Optimization which shares the strategies, capabilities, and proof points to help you optimize agent costs and run AI as a managed investment system on Microsoft Foundry. The first post set out the three decisions that system rests on: optimize each…