Dr LEONG Mun Kew is currently Deputy Director, Institute of Systems Science (ISS) at the National University of Singapore. ISS provides practice-based and continuing education, focused on innovation, leadership and creating technical expertise for Singapore’s Smart Nation journey. Mun Kew is responsible for ISS’ masters programmes: Knowledge Engineering develops students who build strategic data-driven intelligent systems; Enterprise Business Analytics uses data and models to ensure better business decisions; Software Engineering provides the platforms and processes for robust and secure systems – it’s the software that makes systems smart! – and IT Leadership creates the future digital leaders to make the smart nation a reality.
Before joining ISS, Mun Kew was with the Singapore National Library Board (NLB) as Chief Technology Officer and Deputy CIO. Before joining NLB, he was Principal Scientist and Programme Director for Services Research at the A*STAR Institute for Infocomm Research (I2R). In his 20-year research career, Mun Kew’s personal research was in information retrieval, digital libraries, distributed multilingual search systems and media semantics, and he also looked after research groups in natural language processing, security, distributed systems, data mining and analytics. From 1999 to 2001, Mun Kew was VP and CTO of an IT start-up delivering custom distributed deep search technologies and services. He has published a bunch of papers, has a few patents and has been an invited keynote speaker in more international events than he can remember.
Mun Kew received his PhD from Stanford University. He has more than 30 years of R&D and commercial experience in IT. He was Chair and Editor of the ISO/JTC1/WG2/24800 JPSearch international standard, editor or past editor of the Journal of Information Retrieval, Information Processing and Management Journal, the IRAL and AIRS symposium series and the Steering Committee of the Singapore Bio-Imaging Consortium. MunKew is a Senior Member of the Singapore Computer Society and was a council member of the ITMA for many years.
CONFERENCE DAY TWO
14:30 PM ‘Bot Farm’: How Will RPA as a Software as a Service (SaaS) Change the RPA Adoption Landscape?
- Evaluating the cost, capability and performance of 'bot farm'
- How will ‘bot farm’ change the game for RPA uptake in your organisation?
- Assessing the security risks of ‘bot farm’ and how your organisation can mitigate them
- From RPA to AI: Outlining the stages and elements of RPA maturity and where we are at now
- How can your organisation tap into of AI to progress up the maturity level?
- Identifying risks and challenges of AI application and how to better manage them
- Aligning people, process and technology with AI