Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Kamran Yousaf

Kamran Yousaf
Solution Architect, Redis Labs


Kamran Yousaf is a solution architect at Redis Labs, where he specializes in the development of distributed, high-performance, low-latency architectures working with a wide range of technologies and architectures, from rule-based development, grid and low-latency applications to enterprise file sync and share. Previously, he was vice president of engineering at UK startup SME, a leader in enterprise file sync and share, and worked at GigaSpaces, BEA, and Versata.


16:3517:15 Thursday, 25 May 2017
Secondary topics:  Deep learning, Streaming
Level: Intermediate
Kamran Yousaf (Redis Labs)
Average rating: ***..
(3.50, 6 ratings)
Kamran Yousaf explains how to substantially accelerate and radically simplify common practices in machine learning, such as running a trained model in production, to meet real-time expectations, using Redis modules that natively store and execute common models generated by Spark ML and TensorFlow algorithms. Read more.