Put AI to Work
April 15-18, 2019
New York, NY
Fidan Boylu Uz

Fidan Boylu Uz
Senior Data Scientist, Microsoft

Fidan Boylu Uz is a senior data scientist at Microsoft, where she’s responsible for the successful delivery of end-to-end advanced analytic solutions. She’s also worked on a number of projects on predictive maintenance and fraud detection. Fidan has 10+ years of technical experience on data mining and business intelligence. Previously, she was a professor conducting research and teaching courses on data mining and business intelligence at the University of Connecticut. She has a number of academic publications on machine learning and optimization and their business applications and holds a PhD in decision sciences.

Sessions

11:05am–11:45am Wednesday, April 17, 2019
Deploying deep learning models on GPU-enabled Kubernetes clusters
Implementing AI
 Location: Trianon Ballroom
Secondary topics:  Deep Learning and Machine Learning tools, Edge computing and Hardware, Platforms and infrastructure
Mathew Salvaris (Microsoft), Fidan Boylu Uz (Microsoft)
Average rating: ***..
(3.33, 3 ratings)
Interested in deep learning models and how to deploy them on Kubernetes at production scale? Not sure if you need to use GPUs or CPUs? Mathew Salvaris and Fidan Boylu Uz help you out by providing a step-by-step guide to creating a pretrained deep learning model, packaging it in a Docker container, and deploying as a web service on a Kubernetes cluster. Read more.