Artificial Intelligence

AI is moving from the lab to the workplace, with profound implications for business and society.

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.

CEO dialogue: Perspectives on reimagining industrial supply chains

– After seeing the COVID-19 pandemic generate unprecedented disruptions to global supply chains, CEOs are taking innovative approaches... to build resilient, digitally infused operations.

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.

An executive’s guide to AI

– Updated with the latest artificial-intelligence developments, our interactive helps business executives learn the ABCs of AI.

Leadership’s role in fixing the analytics models that COVID-19 broke

– COVID-19 has upended life as we knew it, and our new behaviors are wreaking similar havoc on some analytics models that rely on... historical data. How can leaders enable teams to get analytics back on track?

Accelerating analytics to navigate COVID-19 and the next normal

– Organizations are standing up analytics capabilities in a matter of weeks to inform business responses to COVID-19 challenges... and prepare for the future. Here’s how.

Rethinking AI talent strategy as automated machine learning comes of age

– Do companies still need to hire a large contingent of data scientists to build machine learning models or can AutoML reduce the... demand for this elusive talent?

How to build AI with (and for) everyone in your organization

– Becoming an AI-driven business requires contributions from your entire workforce. While the transformation takes time, several... tactics can begin democratizing AI now.

An executive primer on artificial general intelligence

– While human-like artificial general intelligence may not be imminent, substantial advances may be possible in the coming years.... Executives can prepare by recognizing the early signs of progress.

From the McKinsey Quarterly

Article - McKinsey Quarterly

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.
Article - McKinsey Quarterly

Can artificial intelligence help society as much as it helps business?

– The answer is yes—but only if leaders start embracing technological social responsibility (TSR) as a new business imperative... for the AI era.
Article - McKinsey Quarterly

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.

From the McKinsey Global Institute

Report - McKinsey Global Institute

The future of work after COVID-19

– The pandemic accelerated existing trends in remote work, e-commerce, and automation, with up to 25 percent more workers than previously... estimated potentially needing to switch occupations.
Report - McKinsey Global Institute

The Bio Revolution: Innovations transforming economies, societies, and our lives

– Advances in biological science could transform economies and societies, helping to tackle global challenges from climate change... to pandemics.
Podcast - McKinsey Global Institute

AI in healthcare: Microsoft’s Kevin Scott on how tech can treat a pandemic

– Machine learning to develop vaccines faster; wearable devices to detect illness sooner: the COVID-19 pandemic could spark significant... innovations in healthcare technologies.
Article - McKinsey Global Institute

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.

AI in Practice


Engaging employees to use analytics: How mining companies solve the adoption challenge

– Advanced analytics can drive value only if employees use them to make decisions. But adoption is often the biggest stumbling block in analytics initiatives. Here’s how to get it right.

Rewriting the rules: Digital and AI-powered underwriting in life insurance

– COVID-19 reinforces the urgency to make life insurance purchasing simpler and more digitally enabled.

How artificial intelligence will impact K-12 teachers

– Existing and emerging technologies can help save teacher time—time that could be redirected toward student learning. But... to capture the potential, stakeholders need to address four imperatives.

Precision fisheries: Navigating a sea of troubles with advanced analytics

– Advanced analytics may help struggling fisheries thrive while simultaneously protecting endangered ocean resources.