#NoCodeMachineLearning #CollaborativeMachineLearning #DataDrivenCompany 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 [1:01] • Einblick's progressive approximation engine [5:00] • How no-code tools impact productivity [15:34] • The critical steps to become more data-driven as an organization [22:47] • How research universities like MIT support high-risk, long-term research [36:52] • How ML applied to databases enables them to be faster and more efficient [40:18] • How real-time collaboration environments like Google Docs are likely to become more widespread for data science tasks [ 47:40] Additional materials: https://www.superdatascience.com/571