Introduction to BigDL - Bringing Deep Learning to the Big Data Platform Webinar

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AI plays a central role in today’s smart and connected world and is continuously driving the need for scalable, distributed big data analytics with deep learning capabilities. There is also an increasing demand from organizations to conduct deep learning in the same cluster along with existing data processing pipelines to support feature engineering and traditional machine learning. Addressing the need for such a unified platform for big data analytics and deep learning, Intel recently released BigDL, an open source distributed deep learning library for Apache Spark*. In this webinar, we will discuss our motivation for BigDL, architecture and features of BigDL and how to get started with building models using BigDL.

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Radhika Rangarajan

Senior Engineering Program Manager

Radhika Rangarajan is a Senior Engineering Program Manager for Apache Spark and Machine Learning within Intel’s Software and Services Group. With 16 years of software experience, Radhika manages several open source projects in Big Data and Analytics. Radhika has a Bachelors and Masters in Computer Science and Engineering.