'Wearing too many hats': How to bridge the AI skills gap

Organizations with an interdisciplinary team have a "far higher ratio of success" when deploying AI projects, said Arun Chandrasekaran, distinguished VP analyst at Gartner, speaking at a Gartner IT Symposium/Xpo Americas session last week. Interdisciplinary teams that blend roles across business and data science have a higher ratio of success with AI projects, as well as a faster time to production. This trend "clearly tells us that AI needs to be a team sport, said Chandrasekaran. "However, in reality what we see in most organizations is data scientists wearing too many hats, because there's a dearth of skills across other areas," he said. Organizations with an interdisciplinary team have a "far higher ratio of success" when deploying AI projects, said Arun Chandrasekaran, distinguished VP analyst at Gartner, speaking at a Gartner IT Symposium/Xpo Americas session last week. Interdisciplinary teams that blend roles across business and data science have a higher ratio of success with AI projects, as well as a faster time to production. This trend "clearly tells us that AI needs to be a team sport, said Chandrasekaran.