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.
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Learn more about the articles referenced in this episode below:
Standalone Data Visualization is Dead...and I Couldn’t Be More Excited by Matthew Miller (Biztory)
IDC: Asia-Pacific spending on AI systems will reach $.5 billion this year, up 80% from 2018 by Catherine Shu (TechCrunch)
High-Stakes AI Decisions Need to Be Automatically Audited by Oren Etzioni and Michael Li (WIRED)