Einblick co-founder and associate professor at MIT, Tim Kraska, joins Jon Krohn to discuss no-code collaboration tools for data science and uncovers the clever database and machine learning tricks under the hood of the visual data computing platform. In this episode you will learn: • The inspiration behind Einblick [2:45] • Einblick's progressive approximation engine [6:43] • How no-code tools impact productivity [17:18] • The critical steps to become more data-driven as an organization [24:30] • How research universities like MIT support high-risk, long-term research [38:37] • How ML applied to databases enables them to be faster and more efficient [42:03] • How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 49:24] Additional materials: www.superdatascience.com/571