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Brianna White

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Jul 30, 2019
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Stories of how AI will benefit the enterprise are a dime-a-dozen these days. Applications in sales, marketing, payroll and a host of other areas are legion. But as of yet, there is precious little talk about how, exactly, organizations are faring with their AI projects. Are they really delivering on these promises, and might there be some concrete examples of AI at work that can be emulated elsewhere?
Judging by Gartner’s Hype Cycle, most organizations are close to wrapping up the developmental and experimentation phases of their initial AI programs and are now looking to operationalize them within the business model. This is a crucial step for the technology because it represents the leap from expectation to reality. Without tangible results in the real world, such as heightened productivity, lower costs or some other positive outcome, AI could get pushed back to the lab for further refinement or possibly suffer a slow death altogether.
Positive outlook for AI
According to MIT Sloan Management Review, however, 2022 is shaping up to be the year that AI finally starts to produce solid returns on the investments of the past few years. In 2019, for example, only three out of 10 surveyed companies reported even minimal value from their AI endeavors, with failures largely attributed to the difficulty in pushing the technology into production environments. This year, more than 90% are reporting solid returns on their AI investments and are planning to expand their strategies going forward.
Continue reading: https://venturebeat.com/2022/04/04/how-ai-is-making-real-contributions-right-now-to-business-models/
 

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