Date: Fri, 30 Aug 2019 04:00:00 -0400
<p>In our second-to-last episode of the season, Triveni and Will explore the data world’s shifting attitude toward standalone data visualizations (are they dying? Who are they for?), how to respond to global AI practices (what are global AI standards? How do different countries vary in their AI approaches?), and the feasibility of an AI audit. We’ll also see how Spark fits into the infrastructure of our data science systems.</p><p>Be sure to subscribe to our weekly<a href="https://banana-data.com/"> newsletter</a> to get this podcast & a host of new and exciting data-happenings in your inbox! </p><p>Learn more about the articles referenced in this episode below:</p><p><a href="https://biztory.com/2019/06/11/salesforce-buying-tableau-means-standalone-data-visualization-is-dead-and-i-couldnt-be-more-excited/">Standalone Data Visualization is Dead...and I Couldn’t Be More Excited</a> by Matthew Miller (Biztory) </p><p><a href="https://techcrunch.com/2019/05/20/idc-asia-pacific-spending-on-ai-systems-will-reach-5-5-billion-this-year-up-80-percent-from-2018/">IDC: Asia-Pacific spending on AI systems will reach $.5 billion this year, up 80% from 2018</a> by Catherine Shu (TechCrunch) </p><p><a href="https://www.wired.com/story/ai-needs-to-be-audited/">High-Stakes AI Decisions Need to Be Automatically Audited</a> by Oren Etzioni and Michael Li (WIRED) </p>
