How to Identify Machine Learning Talent - InformationWeek

According to a recent survey on enterprise AIOps adoption, 67% of enterprise IT organizations in the US have experimented with artificial intelligence and machine learning for data management and incident remediation. What's more, Gartner expects AI to create more jobs than it replaces by 2020. AI is moving fast and enterprises need talent today, but not just any talent. What once was a shortage of coding and software engineering expertise has now translated into an overall shortage of skills in artificial intelligence and algorithmic engineering. Skills gaps are cited as being among the biggest hurdles to AIOps adoption and implementation, and a recent EY survey of 200 senior leaders found that 56% see talent shortages as the single biggest barrier to implementing AI into business operations in 2018.