AI is now seemingly everywhere. In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data.
“Artificial intelligence is getting ready for business, but are businesses ready for AI?,” asks McKinsey in a recently published report - Artificial Intelligence: the Next Digital Frontier. “AI adoption outside of the tech sector is at an early, often experimental stage,” is the report’s succinct answer. “Few firms have deployed it at scale.”
The report is based on a survey of over 3,000 AI-aware C-level executives across 10 countries and 14 sectors. Only 20 percent of respondents had adopted AI at scale in a core part of their business. 40 percent were partial adopters or experimenters, while another 40 percent were essentially contemplators.
AI encompasses a broad rage of technologies and application. It’s often viewed as the leading edge of IT. As soon as AI is successfully applied to a problem, the problem is no longer a part of AI. The McKinsey report is focused on five technologies being increasingly deployed in business, that most everyone agrees are part of AI: robotics and autonomous vehicles, computer vision, language, virtual agents, and machine learning.
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