Digital transformation is not just about buying new software or adopting modern technology. It is mostly about changing the management mindset, approach, and executive methods, via digital technology as a tool.
This integration of technology takes place across all of a business's products, operations, sales, marketing, IT, and customer service functions.
The webinar will discuss how AI and Machine Learning can assist us in carrying out a successful digital transformation and cover the following:
- Digital Transformatoin Facts
- AI and Machine Learning Facts
- How AI and Machine Learning can help digital transformation
- Case study 1: Distrbution
- Case study 2: Virtual Services
- The Future
Speaker: Dr Amirhassan Monajemi
About the speaker:
Dr Amirhassan Monajemi is a Senior Lecturer with the School of Computing, National University of Singapore (NUS). Before joining NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning and Data Science. He was born in 1968 in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University, both in Iran, respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications.
He has taught artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007. Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.
This workshop is in support of SkillsFuture Festival. Find out more here