Speaker
楊仲豪 (Young Yang) Machine Learning Solutions Architect/Specialist, Amazon Web Service
楊仲豪 (Young Yang) Machine Learning Solutions Architect/Specialist, Amazon Web Service
Topic
The Next Wave of Smart Factory_Using Woodside Case Study
Abstract
In this session, we will use "Woodside" case to explain the next wave of smart
factories.Woodside is the largest Australian natural gas producer, which produces
6% of global LNG supply. However, few years ago, Woodside encountered
the following three operation painpoints: "Data Silio", "Lock of Innovation", and
"Limited Resources" and these painpoints imapct the following fundational
operation problems: 1. Same machine put in different places with different
performance. Why? 2. Lock-in by machine vendors. Hundreds of vendors with
thousands of systems. 3. As oil and gas company, does not have the resources to
build and embrace new IT infrastructure.In this session, we will go deep dive how
Woodside overcame these problems step by step and results.
The Next Wave of Smart Factory_Using Woodside Case Study
Abstract
In this session, we will use "Woodside" case to explain the next wave of smart
factories.Woodside is the largest Australian natural gas producer, which produces
6% of global LNG supply. However, few years ago, Woodside encountered
the following three operation painpoints: "Data Silio", "Lock of Innovation", and
"Limited Resources" and these painpoints imapct the following fundational
operation problems: 1. Same machine put in different places with different
performance. Why? 2. Lock-in by machine vendors. Hundreds of vendors with
thousands of systems. 3. As oil and gas company, does not have the resources to
build and embrace new IT infrastructure.In this session, we will go deep dive how
Woodside overcame these problems step by step and results.