Description

It must be realized that every single organization out there in various types of industries either manufacturing or services are within a specified business eco-system. Technologies and automation plays an import part in the realization of Industry 4.0. However, we must understand that data that are generated in the current systems of an organization will lead towards the need for people's capability change, process changes and introduction of new technologies or automation. The movement of data in the business eco-system must be well understood in order to capitalize in the 4th Industrial Revolution.

In this two(2) days awareness program, in which participants will be exposed to the fundamentals of Industry 4.0, the pillars, big data analytics and its related statistical thinking for People, Process & Technology (PPT) needs.

In the 4IR, it's emphasised that disruptions will happen through the nine pillars, that is:

• Autonomous Systems
• Additive Manufacturing
• Systems Integration
• Cyber Security
• Cloud Computing
• Internet of Things (IOTs)
• Simulation
• Augmented Reality
• Big Data Analytics

This program is indeed important to effectively build on the business intelligence needed  to manage the business of various organizations in any industry. The knowledge provided in this program will allow executives and managers alike to have the needed awareness regards to Industry 4.0 and big data before going for any particular hardware and software in order to make timely business decisions and increase organization’s competitiveness, both locally and internationally.

Objectives

At the end of this training package, participants will be empowered to:-

• Understand what is the fundamental of Industry 4.0 and its Pillars
• Understand the basics of what is big data as of its original term and the widening scope of its definition in Industry 4.0
• Data Mobility and it’s applications in the industry 4.0
• Acquire the skills of identifying big data links in business eco-system with integrity in a full spectrum (in terms of People, Process and Technology)