This two day course is a combination of lectures and case studies with discussions. It is highly relevant for managers and engineers alike, helping them to develop skills in building and deploying industrial internet of things.
The Industrial Internet of Things (or Industrial Internet) differs from the Internet of Things which is focused on getting consumer electronics and other items connected to internet. IIOT focus on bringing greater visibility and control over the different parts of the industrial operations, from assets tracking, operations feedback, maintenance monitoring etc. The end result is deep insight into the operational models of the manufacturing process, and allowing for the unlocking of the business value through greater efficiency.
To be eligible for SkillsFuture Series subsidy, participants:
- must be Singaporeans or Permanent Residents of Singapore
* Participants who do not fulfill the above criteria are not eligible for SkillsFuture Series funding, and are required to pay the course fee in full.
Fee with NEW SkillsFuture Series Subsidy: S$250.38 inclusive of GST) *conditions apply
Engineers , Data scientist , IT Executive, Operations Manager
The Landscape of Industrial Internet of Things
Applying Industrial Internet of Things into Advance Manufacturing: Understanding the manufacturing process, Creating the data model and defining the user model, Identifying opportunities for data analytics and M2M connectivity, Information technology vs Operational technology, Role of Analytics in Industrial Manufacturing, Getting insights into process optimization
Case Studies of Industrial IOT
What are the critical problems that industrial companies are trying to solve with Industrial Interenet of Things? How are these problems being addressed and what are the key use cases? If you follow the press and vendor marketing, there are a wide range of outcomes being sought, but the overwhelming messaging is focused on no unplanned downtime and predictive maintenance – collectively referred as Asset Performance Management. This talk will explore the market challenges and opportunity around Asset Performance Management and GE Digital’s point of view on how this market is defined, emerging business models, GE’s technical architecture and several case studies.
Gartner defines Asset Performance Management as a market of digital tools and applications designed to optimize operations and maintenance of assets essential to the operation of an enterprise. Key focus outcomes of APM tools and technologies include reducing unplanned downtime, excess repair work, maintenance and material costs, extended asset run time and availability and reduction of operational, environmental and production risk.
|Cancellation & Refund Policy|
|A written notification to firstname.lastname@example.org or fax to
6774 2911 before course closing date.
|No cancellation charges (Full refund)|
|A written notification on or after course closing date.||No Refund
SkillsFuture Credit (if applicable):
- Participant to cancel their claim with WDA
- PaCE Collegereserves the rights to collect the full fee amount from the participant
|Given a 3 days notice before course commencement, companies may replace participants who have signed up for the course. Terms and conditions apply.
There is no replacement for participant utilising SkillsFuture Credit. Participant to cancel their SkillsFuture Credit claim with WDA.
|Terms and Conditions|
|• Course is subject to a minimum participation before commencement
• Course is subject to a first-come-first-serve basis in light of overwhelming responses
• PaCE Collegereserves the right to change or cancel any course or trainer, in light of unforeseen circumstances
• All details are correct at time of dissemination
|At PaCE College, participants’ personal information is collected, used and disclosed for the following purposes:
|Course Date, Time||Reg. Closes On|
|1||26 Jun' 19 to 27 Jun' 19, 9.00am to 6.00pm||12 Jun' 19||Register Now|
Mr Philip Teng graduated with a BEng (EE) degree from National University of Singapore and received his Masters in Electrical and Computer Engineering from Carnegie Mellon University, USA. Having worked on embedded system software in mission critical and safety critical applications for the past fourteen years, Philip has extensive know-how in developing complex software, as well as the key technologies in real time embedded software. His experience includes commercial and defence applications, such as the unmanned ground vehicle application for commercial port operations. He is also the team leader of the flight software team for Singapore's first micro-satellite, which was successfully launched into space and operating. Philip is also lecturing in NTU on Embedded Systems Programming for the Masters of Science (Embedded Systems).