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Artificial intelligence uses vast amounts of data and sophisticated probabilistic algorithms to offer "the intimacy of a small town in a big city scale," Gartner VP Svetlana Sicular said at the company's annual IT Symposium last week.
But she said, the growth of AI applications in deployment was actually less this year than last year, with the total percentage of CIOs saying their company has deployed AI now at 19 percent, up from 14 percent last year. That's a nice increase, but it's far lower than the 23 percent of companies that thought they would newly roll out AI in 2019. She said, "something is stalling AI adoption." (In another conversation with her, she said the biggest issue in AI is the lack of ideas.)...
For skills, she suggested that companies upskill their existing developers and analysts rather than look for experts, saying that an understanding of your business is often critical. The data you have is often enough, but it needs to be structured in such a way that machine learning can take advantage of it...
For the future, she said there is a trend toward model explainability to facilitate AI adoption, fairness, reliability and trustworthiness, noting that in some cases, AI use is stalling because customers or employees don't trust the AI. Some models are getting better at such explainability, but what machine learning (ML) and AI accountability entails will vary by specific use case. She noted that technical explainability is different from human explainability, meaning explain it in normal language and add common sense.
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Source: PCMag.com
