AI is super-exciting. Especially the field of machine learning (and sub-field of "deep learning" - an area I've studied for over 25 years). AI and ML offer to revolutionize the way we monitor, and model, and generate answers from all the big and small data that is swirling around of us. But it’s not going to happen overnight. Especially since many organizations still struggle with the best ways to select, apply and monetize AI for practical, everyday use. This presentation aims to cut through the hype and lays out 7 rules for AI project sponsors, managers and practitioners alike - each supported by examples and resources to learn more, as well as key influencers and vendors worth checking out.
1. small data group
7 RULES FOR
SURVIVING THE AI
HYPE MACHINE
Practical insights, research and
frameworks for organizations
looking to apply smart, data-
driven apps to everyday work
Allen Bonde April 2018 update