Please visit the COVID-19 response page for resources and advice on managing through the crisis today and beyond.
To bring AI into the business mainstream, companies need to complement their technology advances with a focus on governance that drives ethics and trust. If they don’t, their AI efforts will fall short of expectations and lag the business results delivered by competitors that responsibly embrace machine intelligence, our latest research findings suggest.OUR RESEARCH REPORT
Businesses are in the early stages of AI adoption, and are still learning how to put the technology to work. The challenge today is less about understanding technical questions and technology capabilities, and more about crafting a strategy, determining the governance structures and practices needed for “responsible AI,” and accelerating the move from experiments to full-scale AI adoption.
Roughly two-thirds of executives believe that AI is extremely or very important to their company’s success today.
84% view AI as critical, including 48% who believe AI will be extremely important to their company’s success.
Financial services, technology, and retail executives are most optimistic about the importance of AI.
More than 80% of executives at faster-growing companies expect major or significant benefits from AI in increased efficiency/lower costs over the next 12 months.Explore the data
AI's top two functional focus areas are customer service (21%) and manufacturing/ production (19%).Explore the data
Most projects are in an early and experimental stage. Executives most often reported on pilot projects (37%), with only 22% of projects being fully implemented.Explore the data
Only 53% of companies have policies and procedures designed to identify and address potential unethical behavior and uses of AI.
Roughly half of executives report that their company uses tools to identify and address potential unethical behavior in AI applications.
Nearly 90% of executives say their company is using or considering using blockchain technology to provide assurance for intellectual property issues associated with AI.