October 28–31, 2019

Schedule: TensorFlow in the enterprise sessions

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1:30pm5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom C/D
Neelima Mukiri and Meenakshi Kaushik demonstrate how to automate hyperparameter tuning for a given dataset using Katib and Kubeflow. Katib can be easily run on a laptop or in a distributed production deployment, and Katib jobs and configuration can be easily ported to any Kubernetes cluster. Read more.
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1:30pm5:00pm Tuesday, October 29, 2019
Location: Grand Ballroom G
Jason Mancuso (Dropout Labs), Yann Dupis (Dropout Labs)
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Jason Mancuso and Yann Dupis demonstrate how to build and deploy privacy-preserving machine learning models using TF Encrypted, PySyft-TensorFlow, and the TensorFlow ecosystem. Read more.
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4:10pm4:50pm Thursday, October 31, 2019
Location: Grand Ballroom E
Keqiu Hu (LinkedIn), Jonathan Hung (LinkedIn), Abin Shahab (Linkedin)
Keqiu Hu, Jonathan Hung, and Abin Shahab explore the challenges LinkedIn encountered and resolved to scale TensorFlow. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • NVIDIA
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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