About the course
When it comes to innovation in business, it’s not about the idea, it’s about turning the idea into an impact. That is what AI technologies is about. This course explores some of the common challenges faced by organisations in moving data science and AI from a sandbox/poc/pilot environment into an enterprise productionalised environment. The course practically recounts how one can one successfully deploy an enterprise and scalable AI by mastering strategies to ‘operationalise AI’.
After this course you will:
Knowledge you will acquire
Skills you will acquire
About David Hardoon
Senior Adviser for Data and Artificial Intelligence at UnionBank of the Philippines
David is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines and Chair of Data Committee at Aboitiz Group.
Prior to his current roles, David was Monetary Authority of Singapore (MAS) first appointed Chief Data Officer and Head of Data Analytics Group reporting to the agency Deputy Managing Director for Financial Supervision and subsequently Special Advisor (Artificial Intelligence) reporting to Deputy Managing Director for Markets and Development. In these roles he led the development of the AI strategy both for MAS and Singapore’s financial sector as well as driving efforts in promoting open cross-border data flows.
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Chapter 1 | Brief Intro To Data Science And AI (DSAI)
A brief introduction to DSAI for decision making. The chapter will touch on some foundational concepts and relevance to business process incorporation.
Chapter 2 | What Are The Pieces Of The DSAI Puzzle?
DSAI has a lot of moving parts, what key components that should be in the forefront of consideration for operationalization.
Chapter 3 | How To Operationalise DSAI?
The chapter aims to bring all the previous chapters together to showcase how to operationalize DSAI.