Machine learning is on the edge of revolutionizing those 12 sectors. Most leaders in those industries look at Machine Learning and see a non-stable, none viable technology in the short term. This will allow technological Entrepreneurs to disrupt them. If you are looking for engineers to realize your project, look into BrainForce.
These and other findings are from the McKinsey Global Institute Study, and discussion paper, Artificial Intelligence, The Next Digital Frontier (80 pp., PDF, free, no opt-in) published last month. McKinsey Global Institute published an article summarizing the findings titled How Artificial Intelligence Can Deliver Real Value To Companies. McKinsey interviewed more than 3,000 senior executives on the use of AI technologies, their companies' prospects for further deployment, and AI's impact on markets, governments, and individuals. McKinsey Analytics was also utilized in the development of this study and discussion paper.
"Software is eating the world," veteran digital entrepreneur Marc Andreessen quipped a few years back. Today's boards are getting the message. They have seen how leading digital players are threatening incumbents, and among the directors we work with, roughly one in three say that their business model will be disrupted in the next five years. In a 2015 McKinsey survey, though, only 17 percent of directors said their boards were sponsoring digital initiatives, and in earlier McKinsey research, just 16 percent said they fully understood how the industry dynamics of their companies were changing. In our experience, common responses from boards to the shifting environment include hiring a digital director or chief digital officer, making pilgrimages to Silicon Valley, and launching subcommittees on digital.
The rise of artificial intelligence (AI) is quickly coming upon the world. Business executives have both heralded and cautioned against its rise. Most notably, famous entrepreneur Elon Musk has used his platform to sound cryptic alarm bells, famously citing AI as the "biggest risk that we face as a civilization." Adding to the conversation, a recent McKinsey report anticipates that the effect of AI on the world will be "akin to coping with the large-scale shift from agricultural work to manufacturing that occurred in the early 20th century in North America and Europe, and more recently in China." AI is coming, what can we do to prepare?