"The global AI agenda: Promise, reality, and a future of data sharing" is an MIT Technology Review Insights report produced in partnership with Genesys and Philips. It was developed through a global survey conducted in January and February 2020 of over 1,000 executives across 11 different sectors and a series of interviews with experts having specific responsibility for or knowledge of AI. The article below is an extract of the full report. This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review's editorial staff.

The Middle East and Africa are unique settings for AI, compared to Western regions--and to each other. The wealthier Gulf Cooperation Council (GCC) nations are exploring AI as part of broad economic transformation plans to wean themselves from oil and reinvest surpluses into innovation, while in Africa, above and below the Sahara, AI efforts are more bottom-up, often through partnerships with global tech companies and local startups, tackling social challenges including health care and food security.

This report is part of "The global AI agenda," a thought leadership program by MIT Technology Review Insights examining how organizations are using AI today and planning to do so in the future. Featuring a global survey of 1,004 AI experts conducted in January and February 2020, it explores AI adoption, leading use cases, benefits, and challenges, and seeks to understand how organizations might share data with each other to develop new business models, products, and services in the years ahead. The regional summary explores how executives in Latin America see AI: the opportunities, challenges, and the potential for data to be shared with third parties for mutual benefit.

This report is part of "The global AI agenda," a thought leadership program by MIT Technology Review Insights examining how organizations are using AI today and planning to do so in the future. Featuring a global survey of 1,004 AI experts conducted in January and February 2020, it explores AI adoption, leading use cases, benefits, and challenges, and seeks to understand how organizations might share data with each other to develop new business models, products, and services in the years ahead. How are executives in Europe grappling with the opportunities and challenges of AI in their own businesses? What is their AI roadmap and where are they reaping benefits?

This report is part of "The global AI agenda," a thought leadership program by MIT Technology Review Insights examining how organizations are using AI today and planning to do so in the future. Featuring a global survey of 1,004 AI experts conducted in January and February 2020, it explores AI adoption, leading use cases, benefits, and challenges, and seeks to understand how organizations might share data with each other to develop new business models, products, and services in the years ahead. How do executives in the US and Canada see AI playing out in their business? What are the main benefits reaped so far, and what challenges do they face in AI deployment?

AI deployment is widespread but will take time to scale. AI is being deployed widely across sectors, but its reach within enterprises is likely to expand slowly. Most survey respondents (60%) expect AI to be used in anywhere from 11% to 30% of their business processes in three years' time, exercising an important, though not dominant, influence in their operations. Financial services providers, manufacturers, and technology companies have the highest expectations of AI penetration. Change management and data challenges do most to hinder scaling of AI.