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Data Science & Artificial
Intelligence for
Senior Executives 

Data is the new oil. Understanding how data and machine learning is allowing organisations to understand customers and how the revival of artificial intelligence with techniques like deep learning are rapidly changing the competitive landscape and ecosystem is key to remaining relevant.

In this programme, the instructors will share their experiences in building cloud, big data and analytics companies and projects over the last two decades. 

You will gain insights into how an organisation’s data can be ingested by leveraging current best practices and why leading data companies such as Google, Facebook are created and/or depending on open source tools such as Hadoop, Spark, R, and Python. 

During the programme, there will be opportunities to explore and discuss and remove the myth and hype around big data, data analytics, machine learning and artificial intelligence.

1. Overview of Big Data Analytics, Data Science, Machine Learning and Artificial Intelligence
2. The data analytics process, challenges and applications
3. Building your data analytics/science and engineering team

Key Benefits
At the end of the programme, participants would be able to:
• understand the current state of the art of big data infrastructure and analytics
• Understand whether to buy or rent data infrastructure
• Take away a blueprint on how to build a data science team and project in order to pivot the company    towards become a data-centric organisation.


Who Should Attend
CXO, Business Unit Heads, Senior Manager

Data Analytics Begins With Me

Laurence Liew

Laurence Liew is a veteran of the open source, Linux and high performance computing, grid and cloud community and has been promoting the use of Linux/HPC/grid/cloud since 1998.

Laurence currently heads up industry and engineering development under the Singapore National Research Foundation’s AI.SG initiative and is, also, an Adjunct Associate Professor at the National University of Singapore School of Continuing and Lifelong Education (NUS SCALE).

Prior to joining NUS, Laurence introduced Singapore to advanced analytics and machine learning through companies such as Numascale where he architected an in-memory analytics appliance, and Revolution Analytics Singapore where he introduced enterprise R analytics to organisations in Singapore and Asia. In particular, he conceptualized and built the Revolution’s Centre of Excellence for Analytics in Singapore in partnership with the Infocomm Development Authority of Singapore (IDA) in 2013. He also ran Revolution's development team responsible for putting Revolution R in the cloud. Revolution was subsequently acquired by Microsoft in 2015.

Laurence was involved in building the very first commercial Linux supercomputing cluster for an A*STAR research institute in 1999 and has since implemented and consulted for many organisations in Asia Pacific, Japan, Europe and US, on HPC, grid, cloud and now big data analytics.

Laurence is a member of the Singapore IT Masterplan 2025 committee and mentor to several startups in Singapore and a long time Editor of Transactions on Computational Sciences by Springer Journal.

Laurence graduated from NUS with First Class Honours in Engineering, and holds a Master in Knowledge Engineering from NUS. 


13  Jun 2019
05 Sep 2019 


0.5 Day
9.00am to 1.00pm


National University of Singapore
University Town

Singapore Citizens & Singapore PRs 
or International Participant

S$ 588.50

  • Incl. GST

Registration will close 5 working days prior to programme commencement date 

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NUS School of Continuing and Lifelong Education

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