Real-time intelligence gives Uber the edge
M. C. Srivas covers the technologies underpinning the big data architecture at Uber and explores some of the real-time problems Uber needs to solve to make ride sharing as smooth and ubiquitous as running water, explaining how they are related to real-time big data analytics.
| Talk Title | Real-time intelligence gives Uber the edge |
| Speakers | M. C. Srivas (Bridgewater Associates ) |
| Conference | Strata Data Conference |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | May 23-25, 2017 |
| URL | Talk Page |
| Slides | |
| Video | Talk Video |
How does Uber figure out what data to collect, what data is missing, and what analysis is relevant at what stage of the operations? M. C. Srivas covers the technologies underpinning the big data architecture at Uber and explores some of the real-time problems Uber needs to solve to make ride sharing as smooth and ubiquitous as running water, explaining how they are related to real-time big data analytics. Along the way, M. C. looks at some of the big data challenges with autonomous vehicles, especially regarding what it takes for a self-driving car to run on the road safely, and discusses the many applications within Uber that rely on data science and AI technologies.
