1536751800 From Here To AI: Enterprise Class, Scalable Deep Learning | SGInnovate
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From Here To AI: Enterprise Class, Scalable Deep Learning

 

Sep 12 2018, Wednesday05:30 PM - 07:30 PM Singapore

 

32 Carpenter Street

, Singapore

, 059911
0%

Overview

Explore the benefits of using open source frameworks like TensorFlow and Caffe together with toolsets that provides robust end-to-end workflow support for deep learning application logic. This includes the complete lifecycle management from installation and configuration, data ingest and preparation, building, optimizing, and training the model, to inference, testing, and moving the model into production. Taking advantage of a distributed architecture, this enables your teams to quickly iterate through the training cycle on more data to continuously improve the model over time.

The seminar is targeted at people with an interest in Deep Learning, whether that interest is fuelled by business reasons or out of technical interests.

Date : 12 September 2018
Time : 5:30pm - 7:30pm
Venue : 32 Carpenter Street, Singapore 059911

Programme:
5:30pm 6:00pm: Registration
6:00pm 7:00pm: From Here To AI: Enterprise Class, Scalable Deep Learning
7:00pm 7:30pm: Q&A and Networking Session

Speakers:

  • Yonggang Hu, Distinguished Engineer, High-Performance Computing, IBM
  • Renita Leung, Professional Engineer, Global Solutions Architect, IBM

Speaker's Profile:
Yonggang Hu, Distinguished Engineer, High-Performance Computing, IBM

Yonggang Hu is Distinguished Engineer, High-Performance Computing, IBM. He has been working on distributed computing, grid, cloud and big data for the past 20 years. Before joining, Yonggang was Vice President and Application Architect at JPMorgan Chase focusing on computational analytics and application infrastructure. Yonggang holds MS in Computer Science from Peking University and MBA from Cornell University.

Renita Leung, Professional Engineer, Global Solutions Architect, IBM

Renita Leung, P. Eng., is an IBM Global Solutions Architect focusing on HPC, Big Data Analytics, Machine Learning, Deep Learning and AI for Financial Services, Electronics, Aerospace, Automotive, and Life Sciences. Renita partners with sales, other architects and clients to analyse requirements and design complex technical environments. Embarking on her 17th year at IBM (10+ years tenure at Platform Computing), she enjoys partaking in consulting, SME work, solution creation, enablement delivery and technical marketing across the globe. She is also a contributor to IBM Redbooks, authored an HPC related best practices guide as well as technical whitepaper which was later cited in patent applications.

Technology: