October 28–31, 2019
Animesh Singh

Animesh Singh
Senior Technical Staff Manager and Program Director, AI Platform, IBM

Animesh Singh is a senior technical staff manager and program director at IBM, leading IBM AI OSS strategy working with the IBM Watson and Cloud Platform. He leads machine learning and deep learning initiatives and works with communities and customers to design and implement deep learning, machine learning, and cloud computing frameworks. He has a proven track record of driving design and implementation of private and public cloud solutions from concept to production. In his decade-plus at IBM, Animesh has worked on cutting-edge projects for IBM enterprise customers in the telco, banking, and healthcare industries, particularly focusing on cloud and virtualization technologies, and led the design and development of the first IBM public cloud offering.

Sessions

11:00am11:40am Wednesday, October 30, 2019
Location: Grand Ballroom C/D
Animesh Singh (IBM), Pete MacKinnon (Red Hat), Tommy Li (IBM)
TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. It provides a configuration framework and shared libraries to integrate common components needed to define, launch, and monitor your machine learning system. Animesh Singh, Pete MacKinnon, and Tommy Li demonstrate how to run TFX in hybrid cloud environments. Read more.

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