10 Things I Learned Deploying AI into Human Environments

Abstract: Anyone who has worked as a practicing data scientist knows that sometimes the best model doesn't win: integrating new systems and processes that come with AI often present challenges that require creative work around to ensure long-term success. Often the solution to this problem comes through inclusion of key stakeholders, and understanding the power balance of the organization. In this session The Data Guild's Cameron Turner will share some of the triumphs and pitfalls in building/deploying AI solutions for Fortune 100 companies and strategies for making solutions stick.

Bio: Cameron has an extensive background in artificial intelligence product development, venture investing, digital finance, and software management. He currently serves as CEO of Datorium, and is a co-founder of The Data Guild, whose recent projects include mobile financial retention research in sub-Saharan Africa for The Gates Foundation and the financial fraud prediction system for Starbucks. He served as founder and CEO of ClickStream Technologies (acquired by Microsoft) and went on to lead Microsoft’s Telemetry practice, managing essentially all inbound data systems globally. Cameron serves on the Accenture Technology Advisory Board, an Entrepreneur-in-Residence at StartX, and a Venture Studio Advisor at Stanford’s GSB. He co-manages the Oxford Angel Fund and serves as a Venture Partner for Spike Ventures (Stanford Angel Fund). Cameron holds a BA from Dartmouth College, an MBA from Oxford University and MS in Statistics from Stanford.

Open Data Science Conference