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605 articles

An executive’s guide to AI

2018-02-10 www.mckinsey.com 3,652 AI MachineLearning DeepLearning artificialintelligence DataScience innovation McKinsey IoT fintech Insurtech HealthTech

To stay at the forefront of the accelerating artificial-intelligence race, business executives can study up on the ABCs of AI using this interactive.
How artificial intelligence can deliver real value to companies

2017-10-29 www.mckinsey.com 2,898 ArtificialIntelligence BigData McKinsey fintech IoT DataScience automation tech business Insurtech selfdrivingcars

Companies new to the space can learn a great deal from early adopters who have invested billions into AI and are now beginning to reap a range of benefits.
Sizing the potential value of AI and advanced analytics

2018-05-01 www.mckinsey.com 2,396 McKinsey deeplearning BigData IoT Fintech Healthtech Insurtech UseCases DataScience

An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques.
What’s now and next in analytics, AI, and automation

2017-10-31 www.mckinsey.com 2,308 AI automation fintech Insurtech machinelearning DataScience FutureOfWork digitaltransformation martech

Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities for business and the economy, even as they reshape employment and the future of work.
How the Internet of Things will reshape future production systems

2017-11-21 www.mckinsey.com 1,990

Rich data, ubiquitous connectivity, and real-time communication are changing the way companies work. For leaders, that transformation will extend much further than the machines on the factory floor.
Artificial intelligence: The time to act is now

2018-01-08 www.mckinsey.com 1,672 ArtificialIntelligence fintech insurtech

Artificial intelligence will soon change how we conduct our daily lives. Are companies prepared to capture value from the oncoming wave of innovation?
Modeling the global economic impact of AI

2018-09-05 www.mckinsey.com 1,147 Fintech Datascience McKinsey economy WorldEconomy DigitalTransformation

There is unprecedented potential economic impact of AI. But widening gaps among countries, companies, and workers will need to be managed to maximize the benefits.
AI problems and promises

2018-10-16 www.mckinsey.com 1,014 fintech Insurtech futureofwork artificialintelligence MachineLearning DataScience McKinsey deeplearning BlockChain digitaltransformation

Artificial intelligence promises considerable economic and societal benefits, even with AI problems like disrupting the world of work and necessary progress. McKinsey discusses three priorities to help achieve good outcomes.
Artifical intellligence: Why a digital base is critical

2018-07-26 www.mckinsey.com 961 artificialintelligence DigitalTransformation MachineLearning Digital BigData fintech insurtech DataScience

Early AI adopters are starting to shift industry profit pools. Companies need strong digital capabilities to compete.
What AI can and can’t do (yet) for your business

2018-01-11 www.mckinsey.com 961 ArtificialIntelligence Automation FinTech IoT futureofwork insurtech

Artificial intelligence is a moving target. Here’s how to take better aim.
Applying AI for social good

2018-11-29 www.mckinsey.com 871 AI AIforSocialgood artificialintelligence socialimpact techforgood FutureofWork Healthcare AIforGood

Using AI for social good could help solve some of the world’s most challenging problems. Here's how.
Blockchain beyond the hype: What is the strategic business value?

2018-06-21 www.mckinsey.com 821 fintech IoT

Companies can determine whether they should invest in blockchain by focusing on specific use cases and their market position.
Survey: AI adoption proves its worth, but few scale impact

2019-11-22 www.mckinsey.com 787 AI FutureofWork ArtificialIntelligence FinTech

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 with AI capabilities show the way.
The road to artificial intelligence in mobility--smart moves required

2017-10-29 www.mckinsey.com 782

Is AI all hype? No. But automotive OEMs need to take five steps to overcome challenges and position themselves to succeed.
AI, automation, and the future of work: Ten things to solve for (Tech4Good)

2018-06-01 www.mckinsey.com 777 digitaltransformation automation futureofwork ArtificialIntelligence robotics fintech DataScience TheFutureofWork

As machines increasingly complement human labor in the workplace, we will all need to adjust to reap the benefits.
The economics of artificial intelligence

2018-04-27 www.mckinsey.com 761 AI DataScience

Rotman School of Management professor Ajay Agrawal explains how AI changes the cost of prediction and what this means for business.
Sizing the potential value of AI and advanced analytics

2018-04-18 www.mckinsey.com 748 ai ArtificialIntelligence DeepLearning DataScience Supplychain

An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques.
The real-world potential and limitations of artificial intelligence

2018-05-02 www.mckinsey.com 736 AI Digitaltransformation Fintech

Artificial intelligence has the potential to create trillions of dollars of value across the economy--if business leaders work to understand what AI can and cannot do.
Insurance 2030--The impact of AI on the future of insurance

2018-04-30 www.mckinsey.com 692 InsurTech fintech ArtificialIntelligence machinelearning finserv deeplearning IoT McKinsey futureofinsurance

The industry is on the verge of a seismic, tech-driven shift. A focus on four areas can position carriers to embrace this change.
Adoption of AI advances, but foundational barriers remain

2018-11-13 www.mckinsey.com 664 AI fintech Futureofwork Digitaltransformation DataScience

Survey respondents report the rapid adoption of AI and expect only a minimal effect on head count. Yet few companies have in place the foundational building blocks that enable AI to generate value at scale.