How to reap the full benefits of artificial intelligence

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Your guide to deploying AI at scale
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
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Scaling AI like a tech native: The CEO's role
Scaling AI like a tech native: The CEO's role
Embedding AI across an enterprise to tap its full business value requires shifting from bespoke builds to an industrialized AI factory. MLOps can help, but the CEO must facilitate it.
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Breaking through data-architecture gridlock to scale AI
Breaking through data-architecture gridlock to scale AI
Large-scale data modernization and rapidly evolving data technologies can tie up AI transformations. Five steps give organizations a way to break through the gridlock.
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Reimagining your business for AI
Reimagining your business for AI
What's the right approach for getting the most value from artificial intelligence? We find it's transforming one or two important slices of your business at a time.
Start small, scale later   >
Executive's guide to developing AI at scale
Executive's guide to developing AI at scale
Developing artificial intelligence and analytics applications typically involves different processes, technology, and talent than those for traditional software solutions. Executives who possess a solid understanding of the basics can ensure they're making the right investments in their tech stacks and teams to build reliable solutions at scale. We've created an interactive guide to help.
Explore the interactive   >
Getting to know--and manage--your biggest AI risks
Getting to know—and manage—your biggest AI risks
A systematic approach to identifying and prioritizing AI risks can help organizations effectively target mitigation efforts.
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Winning with AI is a state of mind
Winning with AI is a state of mind
Companies capturing lasting value from artificial intelligence think differently, from the C-suite to the front line. Here's how to make the shift from opportunistic efforts to a truly AI-enabled organization.
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Forward Thinking on artificial intelligence with Microsoft CTO Kevin Scott
Forward Thinking on artificial intelligence with Microsoft CTO Kevin Scott
How could AI help create jobs even in rural areas, and what would it take? In this podcast episode, Kevin Scott shares his ideas with James Manyika.
Understand the implications   >
Global survey: The state of AI in 2020
The state of AI in 2020
Our 2020 AI survey shows artificial intelligence has become more of a revenue driver. Companies earning the most from AI plan to invest in it more in response to COVID-19.
Understand the dynamics   >
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McKinsey for Kids: I, Robot? What technology shifts mean for tomorrow’s jobs
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Have you ever talked to your kids about AI or which jobs will still be around when they’re ready to start a career? Peer into the future of work with this kid-friendly interactive experience.
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To see more essential reading on topics that matter, visit McKinsey Themes.
— Curated by Eleni Kostopoulos, a digital publishing manager based in New York
McKinsey & Company
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