Five Fifty: Real-world AI

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Discussion paper - McKinsey Global Institute

Notes from the AI frontier: Applications and value of deep learning

Article - McKinsey Quarterly

What AI can and can’t do (yet) for your business

Article - McKinsey Quarterly

What AI can and can’t do (yet) for your business

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Keep an eye on trailblazers and pioneers to boost your odds of staking out first-mover or early-adopter advantages

Focus on data availability and acquisition, data labeling, and data governance to make sure you have a leading-edge data strategy

Get familiar with today’s tools—where they’re going in the short term and what’s beyond the horizon

While the best application of AI will depend on your own mix of functional challenges, the following advice applies to everyone.

Keep up

Discussion paper - McKinsey Global Institute

Notes from the AI frontier: Applications and value of deep learning

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Banks can apply AI to their underwriting models to address “unbanked” and “semibanked” customers, while improving fraud detection.

Address

Discussion paper - McKinsey Global Institute

Notes from the AI frontier: Applications and value of deep learning

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In consumer packaged goods, AI could turbocharge efforts to forecast failures and schedule interventions, further reducing downtime and operating costs while improving production yield.

Forecast

Discussion paper - McKinsey Global Institute

Notes from the AI frontier: Applications and value of deep learning

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For brick-and-mortar retailers, for example, AI could mash up SKU-performance and customer data to personalize promotions.

Personalize

Discussion paper - McKinsey Global Institute

Notes from the AI frontier: Applications and value of deep learning

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AI’s application to real-world business problems extends across nearly every sector of the economy, but the biggest impact could arise in two particular business functions.

All sectors, two functions

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