Artificial Intelligence and Big Data Sciences

Details

The meetup will take place on the Microservices World -- Expo Discovery Stage located within Hall 3 of the San Jose Convention Center.

2:30 P.M. - 3:00 P.M. Introduction / Networking

3:00 P.M. - 3:50 P.M. Session 1

Title: A Scalable Artificial Intelligence Data Pipeline for Accelerating Time to Insight

Speaker: Dr. Sanhita Sarkar, Global Director, Analytics Software Development, Western Digital

Abstract: Artificial intelligence (AI) requires processing power and adequate storage while executing various deep learning (DL) frameworks. The training and deployment stages of a DL system have different data and processing needs. On one hand, the large volumes of data during
training demands systems with support for massive storage capacity, multiple data formats and protocols for processing dispersed data sets, and sharing of data and models across applications. On the other hand, AI deployment for delivering inference on incoming data requires fast access to the data to meet the demand for AI responsiveness for applications.

The processing and storage needs vary for the different phases of an AI data pipeline comprising of data ingestion, model training and model serving. Disaggregation of GPUs, flash and object storage can enable the delivery of rapid response times and scaling requirements of an AI data pipeline, without compromising on data persistence, quality, durability and cost.

Speaker Bio: Sanhita Sarkar is a Global Director, Analytics Software Development at Western Digital, where she oversees software design and development of analytical features and solutions from edge to data center/cloud. She focuses on key vertical markets such as the Industrial Internet of Things (IIoT), Defense and Intelligence, Media and Entertainment, and Genomics and Healthcare. Sanhita previously held leadership positions at Teradata, SGI, and Oracle. She received her Ph.D. in Electrical Engineering and Computer Science from the University of Minnesota, Minneapolis.

3:50 P.M. - 4:05 P.M. Q/A