Executive Briefing: The hidden data scientists lurking in your company
Many companies delay addressing core improvements in increasing revenues, reducing costs and risk exposure by tying changes to a to-be-hired data scientist. Drawing on three customer examples, Jack Norris explains how to achieve excellent results faster by starting with domain experience and helping developers and analysts better leverage data with available and understandable analytics.
| Talk Title | Executive Briefing: The hidden data scientists lurking in your company |
| Speakers | Jack Norris (MapR Technologies) |
| Conference | Strata Data Conference |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | April 30-May 2, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Many companies delay addressing core improvements such as increasing revenues and reducing costs and risk exposure by tying these changes to a to-be-hired data scientist. Companies need data scientists for many advanced machine learning approaches. But success requires domain experience and machine learning. Starting with the domain experience and augmenting that with more data and analytics can provide excellent results that can then be continually improved. And starting with the data actually lays a better foundation for immediate and continued success. Jack Norris shares three customer case studies to answer questions and illustrate approaches. Topics include:
