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Read Gartner’s Seven Reasons Why AI Isn’t Like Any Other Project

Artificial Intelligence
Gartner research shows that 86 percent of businesses have taken a strategic interest in artificial intelligence (AI). You’re probably one of them. But only 4 percent have already invested and deployed an AI solution today. Why is the gap so large?
 
AI introduces new challenges to building the business case for investment that can limit adoption of the technology, no matter how dynamic the results might be. Unlike traditional IT deployments, AI projects require new skills, new methods and have unpredictable results, all of which make them more difficult to forecast for the business.
 
While the lack of necessary staff skills is the biggest challenge for organizations, defining an AI strategy is not far behind. Thirty-seven percent of organizations recognize it as one of the top three challenges between themselves and a successful AI deployment. To build a strategy, CIOs must articulate a clear business purpose and rationale for investing in AI. 
 
But AI projects are not like other IT solutions; the return on investment is not always immediately clear. These projects also require a serious approach across the business, as they incorporate big topics such as acquiring new talent, managing cultural change and ensuring good corporate governance.
 
IBM is providing this critical Gartner report on the seven factors that make the business case for AI projects different. Download the report now. 
 
 

Stephen Meserve is a product marketer at IBM.




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