Put AI to Work
April 15-18, 2019
New York, NY
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Accelerate innovation in the enterprise with distributed ML and DL (sponsored by BlueData)

Nanda Vijaydev (BlueData)
2:40pm3:20pm Thursday, April 18, 2019
Location: Beekman
Average rating: *****
(5.00, 1 rating)

How do you accelerate innovation and deliver faster time to value for your AI initiative while ensuring enterprise-grade security and high performance? How do you provide easy access to the tools and data your data science teams need for large-scale distributed ML/DL with greater agility for rapid prototyping and iteration?

Nanda Vijaydev shares practical examples of—and lessons learned from—ML/DL use cases in financial services, healthcare, and other industries. You’ll learn how to quickly deploy containerized multinode environments for TensorFlow and other ML/DL tools in a multitenant architecture either on-premises, in the cloud, or in a hybrid environment.

Photo of Nanda Vijaydev

Nanda Vijaydev


Nanda Vijaydev is the lead data scientist and head of solutions at BlueData (now HPE), where she leverages technologies like TensorFlow, H2O, and Spark to build solutions for enterprise machine learning and deep learning use cases. Nanda has more than 10 years of experience in data science and data management. Previously, she worked on data science projects in multiple industries as a principal solutions architect at Silicon Valley Data Science and served as director of solutions engineering at Karmasphere.