October 28–31, 2019
Keshi Dai
Machine Learning Engineer, Spotify
Keshi Dai is a machine learning engineer at Spotify, working to build out ML infrastructure that supports hundreds of engineers and the growth of ML in products at Spotify. Previously, Keshi worked on the other side of ML as one of the engineers building out recommendation products at Spotify. He knows firsthand the challenges presented when productionizing ML and the benefit in using standard infrastructure in many parts of the workflow.
Sessions
1:40pm–2:20pm Wednesday, October 30, 2019
Location: Grand Ballroom A/B
Average rating:
(4.00, 1 rating)
Josh Baer and Keshi Dai discuss how Spotify has historically used ML and explore how the introduction of TensorFlow and TFX in particular has standardized its ML workflows and improved its ability to bring ML-powered products to its users.
Read more.
Presented by
Diamond Sponsor
Elite Sponsors
Gold Sponsor
Supporting Sponsors
Premier Exhibitors
Exhibitors
Innovators
Contact us
confreg@oreilly.com
For conference registration information and customer service
partners@oreilly.com
For more information on community discounts and trade opportunities with O’Reilly conferences
sponsorships@oreilly.com
For information on exhibiting or sponsoring a conference
pr@oreilly.com
For media/analyst press inquires