Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA

Schedule: Ask Me Anything sessions

11:00am11:40am Thursday, March 8, 2018
Location: 212 A-B
Burcu Baran (LinkedIn), Wei Di (LinkedIn)
Join Burcu Baran and Wei Di to discuss big data in business analytics, machine learning in business analytics, and achieving actionable insights from big data. Read more.
11:50am12:30pm Thursday, March 8, 2018
Location: 212 A-B
Vijay Agneeswaran (Publicis Sapient), Abhishek Kumar (Publicis Sapient)
Join Vijay Srinivas Agneeswaran and Abhishek Kumar to discuss recommender systems—particularly deep learning-based recommender systems in TensorFlow—or ask any other questions you have about deep learning. Read more.
1:50pm2:30pm Thursday, March 8, 2018
Location: 212 A-B
Nick Elprin (Domino Data Lab)
Join Nick Elprin to discuss the challenges associated with evolving from random acts of data science to data science as a core competency, common pitfalls and best practices for implementing process, hiring people, and deploying diverse technology, designing and running data science organizations, and more. Read more.
2:40pm3:20pm Thursday, March 8, 2018
Location: 212 A-B
Dean Wampler (Lightbend), Boris Lublinsky (Lightbend)
Average rating: *****
(5.00, 1 rating)
Join Dean Wampler and Boris Lublinsky to discuss all things streaming, from architecture and implementation to streaming engines and frameworks. Be sure to bring your questions about techniques for serving machine learning models in production, traditional big data systems, or software architecture in general. Read more.