10 Artificial Intelligence Trends to Watch in 2017

Posted November 21, 2016 By  Cynthia Harvey

2016 has seen a dramatic increase in interest in artificial intelligence (AI), and that trend seems likely to continue in the coming year. In its Worldwide Semiannual Cognitive/Artificial Intelligence Systems Spending Guide IDC predicted that AI revenues will grow from $8.0 billion this year to $47 billion in 2020, for a compound annual growth rate (CAGR) of 55.1 percent.

"Software developers and end user organizations have already begun the process of embedding and deploying cognitive/artificial intelligence into almost every kind of enterprise application or process," said David Schubmehl, research director, Cognitive Systems and Content Analytics at IDC. "Recent announcements by several large technology vendors and the booming venture capital market for AI startups illustrate the need for organizations to be planning and undertaking strategies that incorporate these wide-ranging technologies."

But AI is a wide and diverse field. Which areas should organizations be paying attention to?

This slideshow highlights ten artificial intelligence trends that seem likely to continue into 2017, and they all could be significant for enterprise IT teams. Many of these AI trends are already well underway but, like the AI field as a whole, will probably become more important as time goes on. For enterprises and technology vendors, AI represents a significant opportunity — but could also present some significant risks.

Image Source: Shutterstock

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