How to Staff Your AI Team

Organizations face challenges in scaling artificial intelligence (AI) projects because they lack the requisite skills, collaboration, tooling and know-how to create and manage a robust, production-grade AI pipeline. Through 2023, Gartner estimates that 50% of IT leaders will struggle to move their AI projects past proof of concept (POC) to a production level of maturity. To reduce this high failure rate, organizations need to build the right roles for AI success. "In many organizations, data scientists are still wearing too many hats due to a dearth of talent across other roles," said Arun Chandrasekaran, Distinguished VP Analyst, Gartner, during his session at virtual Gartner IT Symposium/Xpo 2020. To successfully operationalize and scale AI initiatives, organizations need to build diverse AI roles and skills.