Today, some 80% of large companies have adopted machine learning and other forms of artificial intelligence (AI) in their core business. Five years ago, the figure was less than 10%. Nevertheless, the majority of companies still use AI tools as point solutions — discrete applications, isolated from the wider enterprise IT architecture. That’s what we found in a recent analysis of AI practices at more than 8,300 large, global companies in what we believe is one of the largest-scale studies of enterprise IT systems to date.
To scale the benefits of AI-innovations, those companies need to stop thinking of AI tools and applications — such as natural language processing or computer vision — as standalone solutions. Otherwise, the opportunity cost could be as large as 41% of revenue by 2023. By comparison, leading companies in our research that see AI as components of next-generation enterprise IT systems — what we call “future systems” — stand to grow revenues by as much as one-third over the next five years. READ MORE ON: HARVARD BUSINESS REVIEW