Enterprises are eager to experience the potential benefits from deploying artificial intelligence, but if they want to be successful, they'll need to overcome these technological, organizational and cultural challenges.
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Enterprises are rushing to adopt artificial intelligence, but the path to deployment isn't always smooth. While the technology has improved significantly in recent years, it doesn’t always live up to the hype. And organizations continue to face technological, cultural, and organizational challenges to their AI initiatives.
In a Vanson Bourne survey sponsored by vendor Teradata, 80% of the IT and business decision-makers responding reported that their organizations were using some form of AI in production. However, 91% anticipated “significant barriers” to the adoption of the technology.
“In 2018, organizations will strive to improve their understanding of what AI is best suited to, and how to deploy it,” said Chirag Dekate, research director at Gartner. “By 2020, 85% of CIOs will be piloting AI programs through a combination of buy, build, and outsource efforts.”
However, in the same blog post, the firm noted that “CIOs will have to overcome challenges” if they want to be successful with their AI projects.
What are those challenges, and what can enterprises do to overcome them and experience the full benefits of AI technology?
The following slides highlight 10 top barriers to AI and suggestions for moving past them.
Cynthia Harvey is a freelance writer and editor based in the Detroit area. She has been covering the technology industry for more than fifteen years. View Full Bio
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