Gone are the days when AI was a pie-in-the-sky concept. Today, organizations are looking to shift from experimenting with the technology to implementing it at scale to achieve maximum impact—but many don’t know how to get there. So what’s the right approach? Explore a collection of AI insights and dive deeper on key topics, including:
- how machine learning operations (MLOps) helps accelerate the development of reliable AI systems
- the cultural shifts that leading organizations undergo to build and use AI effectively
- proven ways to manage the risks associated with AI
Scaling AI like a tech native: The CEO’s role
Breaking through data-architecture gridlock to scale AI
Reimagining your business for AI
Executive’s guide to developing AI at scale
Getting to know—and manage—your biggest AI risks
Winning with AI is a state of mind
Forward Thinking on artificial intelligence with Microsoft CTO Kevin Scott
More from McKinsey
McKinsey for Kids: I, Robot? What technology shifts mean for tomorrow’s jobs