How to get started with AI and automation projects

Artificial intelligence technologies (broadly defined here, including machine learning and intelligent process automation) represent new territory for chief information officers. Traditional IT processes won’t work, and the technology isn’t mature, yet CIOs know they can’t wait on the sidelines while competitors plunge ahead seeking to disrupt their industry.

This IDC PeerScape ($$$$) — “Best Practices for Launching Artificial Intelligence Initiatives” — explores how several early adopters of artificial intelligence (AI) technologies got started on their journeys, in a field full of hype, risk, and (potentially) great business value. These pioneers developed a set of guidelines for how to pick the first applications for AI, how to balance in-house and external resources, and how to make sure they have the right quantity and quality of data to feed AI systems.

For this report, I interviewed Sherif Mityas chief experience officer at TGI Fridays Inc.; Rajeev Ronanki, chief digital officer at health insurer Anthem Inc.; and Tom Sheppard, CIO at Brake Parts Inc.

My conclusion: To launch their first AI projects, CIOs must become educators, evangelists, and coordinators of cross-functional teams.

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