Inside Track

Bringing employee voices into our AI decision-making The early phase of enterprise AI can be a little chaotic, and that’s OK. Teams experiment. Ideas are…

As we move from AI experimentation to enterprise-scale deployment, a new challenge is emerging: How do we govern thousands of AI agents, workflows, and copilots…

Network engineers at Microsoft rarely struggle because they lack the tools to do their work. The challenges appear when they need to access too many…

For years, organizations have treated data as a critical business asset. Here at Microsoft, data powers our reporting, supports our decision-making, and helps our leaders…

Generating value by empowering your employees to build agents AI agents are an increasingly important way for organizations to scale knowledge, help their employees boost…

Product managers operate at the intersection of customers, engineering, strategy, and execution. They translate customer needs into requirements, prioritize competing investments, coordinate and make trade-offs…

Two years ago, AI adoption at Microsoft felt kind of like pushing a boulder up a hill. We had the technology, the licenses, and the…

When organizations begin adopting AI, one of the first important questions to be answered is where to start. The needs and options across different teams…

The team building our datacenters here at Microsoft needed to get organized. Microsoft Cloud Operations + Innovation (CO+I), our organization that plans, builds, and operates…

In a global organization such as Microsoft—with more than 220,000 employees connecting and working together from offices and remote workspaces scattered around the world—we enable…

As AI agents become more sophisticated and autonomous, large enterprises like ours face a fundamental challenge: How do you enable powerful new AI experiences among…

For many organizations, the next phase of AI is to move beyond vision and into execution. Most leaders understand the opportunity that AI presents, but…