Cultural changes required to implement
Dec 27, 2023 3:58:15 GMT -6
Post by account_disabled on Dec 27, 2023 3:58:15 GMT -6
More Like This Challenge The Subtle Dynamics of Superiors Benjamin Lake Leading the Age of Transparency Explosion Melissa Swift Want a clearer understanding of generative AI? How far-reaching are the impacts of Linda Gratton's extensive experiment with the four-day work week? Benjamin Lake You must be logged in to post a comment. First time here? Sign up for a free account: comment on articles and access more articles. (AI) is already here, but many company leaders are unsure what to expect from AI and how it will fit into their business models. However, with change coming at an alarming rate, now is the time to define your company’s AI strategy. MIT Sloan Management Review has partnered with the Boston Consulting Group to provide baseline information on the strategies used by leading companies in artificial intelligence, their growth prospects, and the steps executives need to take to develop business strategies.
Executive Summary Expectations for artificial intelligence (AI) are high, but what are businesses actually doing now? The goal of this report is to provide a realistic benchmark that allows companies to compare their AI ambitions and efforts. Grounded in data, not guesswork, the research is based on a global survey of more than 3,000 executives, managers and analysts across Job Function Email List industries, as well as in-depth interviews with more than 30 technology experts and executives. (See “About the Research.”) The gap between ambition and execution is wide at most companies. Three-quarters of executives believe AI will enable their companies to enter new businesses. Nearly 85% believe AI will enable their company to gain or maintain a competitive advantage.
But only about one in five companies has integrated AI into some product or process. Only one in 10 companies has extensively integrated AI into products or processes. Less than 39% of companies have an AI strategy in place. The largest companies—those with at least 100,000 employees—are the most likely to have an AI strategy, but only half have one. Our research reveals a significant gap between today’s leaders—the companies that already understand and adopt AI—and the laggards. One considerable difference is the way they handle the data. Artificial intelligence algorithms.
Executive Summary Expectations for artificial intelligence (AI) are high, but what are businesses actually doing now? The goal of this report is to provide a realistic benchmark that allows companies to compare their AI ambitions and efforts. Grounded in data, not guesswork, the research is based on a global survey of more than 3,000 executives, managers and analysts across Job Function Email List industries, as well as in-depth interviews with more than 30 technology experts and executives. (See “About the Research.”) The gap between ambition and execution is wide at most companies. Three-quarters of executives believe AI will enable their companies to enter new businesses. Nearly 85% believe AI will enable their company to gain or maintain a competitive advantage.
But only about one in five companies has integrated AI into some product or process. Only one in 10 companies has extensively integrated AI into products or processes. Less than 39% of companies have an AI strategy in place. The largest companies—those with at least 100,000 employees—are the most likely to have an AI strategy, but only half have one. Our research reveals a significant gap between today’s leaders—the companies that already understand and adopt AI—and the laggards. One considerable difference is the way they handle the data. Artificial intelligence algorithms.