AI Evening: Delivering Deep Learning in Enterprise, Setting Up Engineering Backbone Processes | SGInnovate
June 21
2018

Location

BASH, Level 3
79 Ayer Rajah Crescent
Singapore 139955

AI Evening: Delivering Deep Learning in Enterprise, Setting Up Engineering Backbone Processes

Presented by SGInnovate. Partnered with IBM

Join SGInnovate and IBM on 21 June as we explore how to instill deep learning as an engineering process in enterprises. While the science is becoming accessible, practicing it in a repeatable and measurable enterprise discipline remain hard.

Please bring along your laptop, with Chrome browser installed, for the hands-on practice at this session.

Date: 21 June 2018
Time: 6:00 pm – 8:30pm
Venue: BASH, Level 3, 79 Ayer Rajah Crescent, Singapore 139955

Programme:
5:30pm – 6:00pm: Registration
6:00pm – 7:00pm: Deep learning units, measurement system for DL process 
7:00pm – 8:00pm: Hands on Build and measure a DNN   
8:00pm – 8:30pm: Networking and End of Event 

Session 1: Measuring deep learning units  
      •   Repeatability: Speed time equations for deep learning 
       •  Econometrics of deep learning 
      •   Harnessing cloud, containers, frameworks, GPUs and HPC 
       •  Semi auto HPO, horizontal and vertical scale out  

Session 2: Build and measure a DNN  
       •  Find promising research 
       •  Set experiment goal 
       •  Estimate compute needed 
       •  Provision environment on cloud
       •   Run and measure experiment    

Speaker: Manprit Singh, IBM Watson Enterprise AI Architect

Manprit Singh is IBM Watson Enterprise AI Architect and mentor. He has been an integral member of the IBM Watson team since the inception of the business. He strives to help businesses realize the relevance and reality of AI. Helping customers harness the potential of Watson Cognitive platform capabilities is his focus. He consults customers in identifying use cases that have a high potential of benefiting from cognitive infusion. Then helps customers build minimum viable products for those use cases and also mentors in the realization of these MVPs into sustained products and offerings.

Manprit brings a broad range of industry and technology delivery experience into his current role at IBM. Before joining IBM Manprit held engineering positions at, Siemens Healthineers and Microsoft consulting. At IBM he has worked as DevOps consultant, Software Architect and Product manager for Watson IOT. He has extensive experience in helping IBM clients be successful with IBM software.

Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics

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