/enri-thumbnails/careeropportunities1f0caf1c-a12d-479c-be7c-3c04e085c617.tmb-mega-menu.jpg?Culture=en&sfvrsn=d7261e3b_1)
/cradle-thumbnails/research-capabilities1516d0ba63aa44f0b4ee77a8c05263b2.tmb-mega-menu.jpg?Culture=en&sfvrsn=1bc94f8_1)
7e6fdc03-9018-4d08-9a98-8a21acbc37ba.tmb-mega-menu.jpg?Culture=en&sfvrsn=7deaf618_1)
Introduction
Intelligent Automation (IA) is central to the transformation from I3.0 to I4.0 and it is already a reality as the component technologies and processes are already matured or will be maturing within the next two to five years. The critical success factors are already in place:
Digitization and Digitalization is already underway in many businesses and organizations, albeit at different pace.
• Underlying technologies like Robotics Process Automation (RPA), Natural Language Processing and Generation (NLP/NLG), Cognitive Agents (e.g. Virtual/Digital Assistants, Chatbots), Machine and Deep Learning (ML/DL), Smart Workflow, Web Technology, Machine Vision, Autonomics, and others are already being used in solutions and getting better and smarter.
• Advanced production and operations techniques are already combining smart digital technologies to create a digital enterprise that is not only interconnected and autonomous but can communicate, analyze, and use data to drive further intelligent action back in the physical world.
• Advanced analytics and Big Data analytics are already being implemented and the analytic tools are within the reach of even small companies. Applications in the area of visualization of data are matured and the use of ML and Data Mining techniques are gaining popularity as they make their way into forecasting, simulation and optimization solutions.
This one-day course will provide a comprehensive overview of the various Industry 4.0 and Intelligent Automation technologies. It serves as a good starting point before individuals go for more in-depth courses, e.g. RPA, Data Analytics and Market Sensing, etc.
The objective of this course is to provide a high-level practical overview of Industry 4.0 and Intelligent Automation (IA) technologies. The course will also address how IA technology (from Robotic Process Auomation (RPA) and Cognitive agents to Machine Learning (ML) and Deep Learning (DL)) can be used for the different functional areas within a business or organization, both at the individual technology and systems level, e.g. how to evaluate what would be a useful technology or solution for a digital market strategy.
There are two parts to this course:
• The morning session will address the underlying technologies, what they are and how they can be used individually and as part of a system or solution. Some of the technologies seem to overlap, e.g. autonomics and robotics process automation, or machine learning and deep learning, etc. We will address the differences and what makes each unique and its application.
• The afternoon session will look at various scenarios, events and opportunities to use the technologies in the business and organization. We will look at use cases and see that can be applied across sectors and industries, and even in small to medium size companies.
This course is open to anyone interested in understanding how I4.0 and IA technologies will impact their business or organization.
Standard Course Fee: S$763.00
|
SSG Funding Support |
Course fee |
Course fee payable after SSG funding, if eligible under various schemes |
|
|
|
BEFORE funding & GST |
AFTER funding & 8% GST |
AFTER funding & 9% GST |
|
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) |
S$600.00 |
S$226.80 |
S$228.90 |
|
Enhanced Training Support for SMEs (ETSS) |
S$86.80 |
S$88.90 |
|
|
SCs aged ≥ 40 years old |
|||
• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Note: Course fee payment made before 1 Jan 2024 will be subject to GST at 8%, and payment made on or after 1 Jan 2024 will be subject to GST at 9%.
Francis Tay
Lecturer, NTU WKWSCI
Founder & CEO, NextGen Ventures Pte Ltd
Director, Singapura Management Pte Ltd
Francis is currently a lecturer at Nanyang Technological University (NTU) Wee Kim Wee School for Communications and Information (WKWSCI), teaching Business Intelligence and Information Entrepreneurship in the Master of Knowledge Management course. His courses are also taken up by students reading for their Master of Information Systems, Master of Information Studies and Master of Mass Communications. He has also taught Organizational Leadership and Information Sources and Services in the Master of Information Studies course. He has been teaching at NTU for more than 10 years.
Francis has authored three books “Latent Factors”, “Turning Good Ideas into Great Businesses” and “Picking Winners”. The first two books focus on business advantages and financial models and the third book is on market intelligence and building up market and sector models for benchmarking analysis. His market intelligence and benchmarking portal – www.profitstrail.com - was developed as a real-time update for “Picking Winners”.
He is concurrently a Director at Singapura Management Pte Ltd, a corporate services company providing bookkeeping, tax and other services to local and foreign SMEs. He founded NextGen Ventures Pte Ltd, an equity investment company that focuses on technology and Internet-related businesses. He has held senior positions in government and government-linked organizations.
Francis obtained his Honours degree from NUS, majoring in Economics and Computer Science & Applications, and his Master of Science in Management (Sloan Fellowship) from the London Business School in the UK. Francis served 5 years on the National Youth Council’s Singapore Youth Awards (SYA) Entrepreneurship committee and has provided mentorship to companies and others under various business programmes at universities and start-up accelerators.
