Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Organic intelligence: Telling a story about the human experience with math

Robin Way (Corios)
12:00pm–12:30pm Tuesday, March 26, 2019
Executive Briefing and best practices
 Location: 2022
Secondary topics:  Visualization, Design, and UX
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Will AI take over the work of data scientists the same way it’s taking over the roles of retail clerks, taxi drivers, and potentially, attorneys and physicians? No, it won’t, and here’s why.

Robin Way argues that we should reposition what we do as “organic intelligence”—the application of math and computers to data to tell a story about the human experience. Human intelligence and computer intelligence mesh in some critical ways, but only humans can:

  • Design and redesign
  • Tell the difference between good and bad
  • Choose how to apply weights to outcomes
  • Derive and describe meaning
  • Assess the impact of uncertainty
  • Understand and develop the relationships needed to convert intelligence into decisions

Join in to learn what organic intelligence is all about.

Topics include:

  • How computer image recognition differs from human vision and cognition
  • How to convert a group of people (like the audience) into an artificial intelligence engine in under five minutes
  • Why humans are so effective at designing and redesigning processes and why we struggle at letting our computer agents do the same thing
Photo of Robin Way

Robin Way

Corios

Robin Way is a faculty member for banking at the International Institute of Analytics and the founder and president of management analytics consultancy Corios. Robin has over 25 years of experience in the design, development, execution, and improvement of applied analytics models for clients in the credit, payments, lending, brokerage, insurance, and energy industries. Previously, Robin was a managing analytics consultant in SAS Institute’s Financial Services Business Unit for 12 years and spent another 10+ years in analytic management roles for several client-side and consulting firms. Robin’s professional passion is devoted to democratizing and demystifying the science of applied analytics. His contributions to the field correspondingly emphasize statistical visualization, analytical data preparation, predictive modeling, time series forecasting, mathematical optimization applied to marketing, and risk management strategies. He is author of Skate Where the Puck’s Headed: A Playbook for Scoring Big with Predictive Analytics. Robin holds an undergraduate degree from the University of California at Berkeley; his subsequent graduate-level coursework emphasized the analytical modeling of human and consumer behavior. He lives in Portland, Oregon, with his wife, Melissa, and two sons, Colin and Liam. In his spare time, Robin plays soccer and holds a black belt in taekwondo.