Episode 176: Data Hungry AI; Women in Data

This week, Wei-Shen and Tony talk about how firms experiment with AI and ML and how firms should be more specific when they talk about these techniques. Then, they discuss the issue of gender and industry working groups, and what that might mean for the future. 1:30 – First, they talk about Hamad Ali’s Wells Fargo story. (https://www.waterstechnology.com/data-management/4714551/wells-fargo-exec-banks-struggle-to-feed-hungry-ai) 7:00 – They discuss the need for failure when experimenting with machine learning. 15:30 – What’s the timeframe when it comes to implementation? 16:00 – Then they talk about the EDM Council’s formation of a Women in Data interest group 21:00 – What’s the ROI for these groups? 26:00 – Tony explains how he’s not ready for the next 20 years. 27:30 – They discuss changes the industry needs to make when it comes to managerial styles. 33:00 – Wei-Shen wraps up the podcast for 2019 with jolly holiday wishes. (aka, see you all in 2020.)