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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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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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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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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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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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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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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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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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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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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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