At #1: Confronting the risks of artificial intelligence
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Confronting the risks of artificial intelligence
1. Confronting the risks of artificial intelligence
With great power comes great responsibility. Organizations can mitigate the risks of applying artificial intelligence and advanced analytics by embracing three principles. more  >
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The analytics academy: Bridging the gap between human and artificial intelligence
2. The analytics academy: Bridging the gap between human and artificial intelligence
As organizations rebuild their foundations to compete in the era of data and advanced analytics, in-house capability-building programs offer the best way to train workers up to the task. more  >
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Fusing data and design to supercharge innovation—in products and processes
3. Fusing data and design to supercharge innovation—in products and processes
While many organizations are investing in data and design capabilities, only those that tightly weave these disciplines together will unlock their full benefits. more  >
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4. Derisking machine learning and artificial intelligence
The added risk brought on by the complexity of machine-learning models can be mitigated by making well-targeted modifications to existing validation frameworks. more  >
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5. Global AI Survey: AI proves its worth, but few scale impact
Most companies report measurable benefits from AI where it has been deployed; however, much work remains to scale impact, manage risks, and retrain the workforce. A group of high performers shows the way. more  >
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6. Catch them if you can: How leaders in data and analytics have pulled ahead
As data and analytics transform industries at an ever-quicker pace, the strategies and organizational cultures of leading companies offer others a road map for success. more  >
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7. Tackling bias in artificial intelligence (and in humans)
AI has the potential to help humans make fairer decisions—but only if we carefully work toward fairness in AI systems as well. more  >
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8. The ethics of artificial intelligence
In this episode of the McKinsey Podcast, Simon London speaks with MGI partner Michael Chui and McKinsey partner Chris Wigley about how companies can ethically deploy artificial intelligence. more  >
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9. Leading your organization to responsible AI
Company values can offer a compass for the appropriate application of AI, but CEOs must provide employees with further guidance. more  >
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10. Managing data as an asset: An interview with the CEO of Informatica
Anil Chakravarthy draws on his experience leading a data-management business to discuss new technical and organizational approaches that help companies create value with data. more  >
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