Frontier Firms in action: Lessons from the AI adoption surge
Discover how leading companies are transforming with AI—unlocking agility, innovation, and impact as Frontier Firms.
Building a foundation for AI success
Learn how to get started on your path to AI transformation with the pillars of AI success.
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AI-powered innovation: How leading organizations are shaping the future
2025 is becoming a defining year for business transformation. -
Empower your teams to grow their AI skills and boost adoption
Explore how Microsoft has developed a series of best practices and resources that now guide our employee AI skill-building initiatives. -
Securing AI: Navigating risks and compliance for the future
As AI becomes more deeply embedded in workflows, having a secure foundation from the start is essential for adapting to new innovations with confidence and ease. -
Building a foundation for AI success: Governance
We have collected a set of resources that encompass best practices for AI governance, focusing on security, privacy and data governance, and responsible AI. -
Building a foundation for AI success: Organization and culture
Explore a few of the emerging best practices that are helping leaders position their organizations for success in the age of AI. -
Building a foundation for AI success: AI strategy and experience
In this post, we’ll focus on emerging best practices that can help you position your AI projects for success. -
Building a foundation for AI success: Technology and data strategy
In this post, we’ll focus on the five data and technology fundamentals required to deliver meaningful, sustainable, and responsible value creation with AI. -
Building a foundation for AI success: Business strategy
In this post, we’ll focus on business strategy—the first of five categories that support the ability to deliver meaningful, sustainable, and responsible value creation with AI. -
Building a foundation for AI success: A six-part series on AI leadership
The pace of innovation in the past year—most notably the momentum of generative AI—is challenging leaders to move quickly to develop or update their AI strategies.