Combining Decision Optimization and Machine Learning To Improve Operational Efficiency | SGInnovate
August282018

Location

32 Carpenter Street
Singapore 059911

Combining Decision Optimization and Machine Learning To Improve Operational Efficiency

Presented by SGInnovate
Partnered with IBM

In today's business environment, it is not uncommon to see in house data scientist teams with deep expertise in Machine Learning or an Operational Research team with skilled expertise in Decision Optimization. On its own, each method have a fair amount of success applying these technologies in isolation, how then can we combined both of these technologies to help them gain a competitive advantage?

In this session, you will learn how to embark on the analytics and AI journey, and to focus on the difference between Decision Optimization and Machine Learning, and how they can complement each other to produce better results and to improve on operational efficiency.

Date : 28 August 2018, Tuesday
Time : 5:30pm – 7:30pm
Venue : 32 Carpenter Street, Singapore 059911

Programme:
5:30pm – 6:00pm: Registration
6:00pm – 7:00pm: Combining Decision Optimization and Machine Learning To Improve Operational Efficiency
7:00pm – 7:30pm: Q&A and End

Speakers:
MAH Win-Hong
Client Technical Professional, IBM

With over 23 years of experience working on Decision Optimization solutions and has helped clients in various industry including Seaport, Manufacturing, Chemical, Transportation, Government, Logistics and Supply Chain to develop, model and deploy solution based on Decision Optimization. His current assignment and research is looking at how to combine Decision Optimisation & Machine learning for better insights and decision to improve business agility.
 

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

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