Episode 11: Failing Fast With Data Science and ML

Update: 2021-08-31

Description

Dan shares his views on how persistence and a fail-fast approach to experimentation are helping a global brand like Shell transform its business across multiple industries — energy and commodities, retail, and commercial real estate — with new applications of data and AI.

Comments

In Channel

Episode 25: The Impact of Analytics and AI on the Future of Insurance

2023-02-0629:25

Episode 23: How Data and AI Are Revolutionizing Telecoms

2022-11-0425:11

Episode 22: Democratizing Data to the Front Lines

2022-08-1725:21

Episode 21: The Power of Data Fusion

2022-08-1629:44

Episode 20: Cloud-Powered Innovation

2022-03-0229:04

Episode 19: Data for the People

2022-02-0229:52

Episode 18: AI in Retail

2022-01-2023:40

Episode 17: Solving Business Problems With Data

2021-12-2224:31

Episode 16: Data Veracity and Diversity

2021-12-0332:04

Episode 15: Wall Street to Hollywood and the Role of Data

2021-11-1017:57

Episode 14: Representation Matters in Data + AI

2021-10-2634:42

Episode 13: Making the Case for Digital Transformation

2021-09-2929:11

Episode 12: Scaling Data Marketplaces

2021-09-1431:23

Episode 11: Failing Fast With Data Science and ML

2021-08-3127:24

Episode 10: Next-Gen Customer 360 With Data + AI

2021-08-0427:29

Episode 9: The Role of Data + AI in Healthcare Equity

2021-07-2032:32

Episode 8: The Critical Job of Building a Data Culture

2021-07-1346:38

Season 2 Preview - Champions of Data+AI

2021-07-0602:00

Episode 7: Why AI Starts With Effective Data Management

2021-05-1025:52

Episode 6: The Role of the Data Platform in Transforming Business

2021-05-0728:07

00:00

Episode 11: Failing Fast With Data Science and ML

#box-pro-ellipsis-176726076457737{-webkit-line-clamp:2;}Episode 11: Failing Fast With Data Science and ML

Episode 11: Failing Fast With Data Science and ML

Databricks

Episode 11: Failing Fast With Data Science and ML