With immense technological advancement and an increasingly disruptive operating environment, the ability to anticipate and respond to rapidly changing conditions is at the forefront of most business leaders’ minds. To enjoy sustained success, organisations and teams require leaders who can develop an agile mindset to lead in an increasingly complex digital workplace.
The programme will enable learners to appreciate the importance of leadership agility and to lead effectively in the disruptive digital economy. Through an established framework, learners will examine their current level of leadership agility and develop it further to enhance their leadership effectiveness.
At the end of the course, participants will be able to:
- Discuss the trends, opportunities and challenges in the digital age
- Appreciate the importance of leadership agility and its impact on business
- Develop leadership agility to lead effectively
- Define team and organisation agility for business success
- Digitalisation trends in industry
- Managing digital transformation
- The need for leadership agility
- Types of leadership agility
- Key domains of actions in leadership agility
- Leadership agility levels
- Expert to catalyst
- Characteristics of highly agile leaders
- Define team agility for business performance
- Embrace organisation agility culture for success
At least 3 years of working experience as a manager
Who Should Attend
Senior Management, Senior Managers, Managers, and corporate executives on management track
Mode of Training
Dr. Amirhassan Monajemi
Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS). Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI and Machine Learning. 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 respectively. He got his PhD in computer engineering, pattern recognition and image processing, from University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Vision, Data Science, and IoT.
Dr. Monajemi has taught diverse computer courses for years, registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, published more than a hundred research papers in peer-reviewed, indexed journals, and supervised several Data Science, IoT, and AI industrial projects in various scales. He chaired the 1st International Conference on IoT, Applications and Infrastructure in 2017. He is mostly interested in Intelligent IoT, and has presented that topic in a few seminars and conferences. He also was the advisor of IKCO (Iran Khodroo Car Manufacturer, the largest in the middle east), and MSC (Mobarakeh Steel Complex, the largest in the country) enterprises in the field of IoT and Industry IV establishment.