For the past few years, the McKinsey Global Institute has been conducting a yearly survey to assess the state of AI adoption. Its 2017 survey of over 3,000 AI-aware executive found that outside the technology sector, AI adoption was at an early, often experimental stage. Only 20% of respondents used any AI-related technology in a core part to their business. A common theme throughout the report was that the same players who were leaders in the earlier waves of digitization and analytics were the early leaders in the AI wave. The McKinsey 2018 survey garnered responses from over 2,000 participants from a wide range of company sizes across 10 industry sectors. Overall, the 2018 survey found that while the business world had begun to adopt AI, few companies had in place the foundational building blocks that would help them to generate value from AI at scale.

In recent years, supply chains have become substantially more challenging to manage. Longer and increasingly interlinked physical flows reflect the rising complexity of product portfolios. Market volatility, which has been exacerbated by the COVID-19 pandemic, has elevated the need for agility and flexibility. And increased attention on the environmental impact of supply chains is triggering regionalization and the optimization of flows. As a result, companies and stakeholders have become more focused on supply-chain resilience.

Artificial intelligence technology can tell doctors when a scan reveals a tumor, can help the military distinguish between a truck and a school bus as a target, and can answer a high volume of college students' questions. Sectors of our economy such as the military, health care, and higher education are much further along than the K-12 system in incorporating artificial intelligence systems and machine learning into their operations. And many of those uses--even when they are not specifically for education--can spark ideas for applications in K-12 that may be more pertinent than ever imagined. With the coronavirus upending traditional ways of delivering education, AI technologies--which are designed to model human intelligence and solve complex problems--may be able to help with logistical challenges such as busing and classroom social distancing, provide support to overwhelmed teachers, and glean new information about remote learning. AI techniques and systems are "like the internal combustion engine--you can use them to power a lot of different things," said David Danks, a professor of philosophy and psychology at Carnegie Mellon University in Pittsburgh, who studies cognitive science, machine learning, and how AI affects people.

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 shows the way, as explained in this article by Arif Cam, Michael Chui and Bryce Hall of McKinsey. Adoption of artificial intelligence (AI) continues to increase, and the technology is generating returns. The findings of the latest McKinsey Global Survey on the subject show a nearly 25 percent year-over-year increase in the use of AI2 in standard business processes, with a sizable jump from the past year in companies using AI across multiple areas of their business. A majority of executives whose companies have adopted AI report that it has provided an uptick in revenue in the business areas where it is used, and 44 percent say AI has reduced costs.

Yes, artificial intelligence (AI) is proving itself to be a worthwhile tool in the business arena -- at least in focused, preliminary projects. Intelligent chatbots are a classic example. Now it's a question of how quickly it can be expanded to deliver on a wider basis across the business -- to automate decisions around inventory or investments, for example. There's progress on this front, as shown in McKinsey's latest survey of 2,360 executives, which shows a nearly 25 percent year-over-year increase in the use of AI in various business processes -- and there has been a sizable jump in companies spreading AI across multiple processes. A majority of executives in companies that have adopted AI report that it has increased revenues in areas where it is used, and 44 percent say it has reduced costs, the survey's authors, Arif Cam, Michael Chui, and Bryce Hall, all with McKinsey, state.

Adoption of artificial intelligence (AI) continues to increase, and the technology is generating returns. 1 1. We define artificial intelligence (AI) as the ability of a machine to perform cognitive functions that we associate with human minds (such as perceiving, reasoning, learning, and problem solving) and to perform physical tasks using cognitive functions (for example, physical robotics, autonomous driving, and manufacturing work). The findings of the latest McKinsey Global Survey on the subject show a nearly 25 percent year-over-year increase in the use of AI 2 2. We define AI use in standard business processes as embedded AI in at least one product or business process for at least one function or business unit. The online survey was in the field from March 26 to April 5, 2019, and garnered responses from 2,360 participants representing the full range of regions, industries, company sizes, functional specialties, and tenures. Of these respondents, 1,872 work at companies they say have piloted AI in at least one function or business unit, embedded at least one AI capability in at least one product or business process for at least one function or business unit, or embedded at least one AI capability in products or business processes across multiple functions or business units.