Lets Get Practical; Operationalising Data Science and AI

Gain fundamental skills on Data Science and AI and how to apply them in business processes.

About the course

In this course, you will explore some of the common challenges faced by organisations in moving data science and AI from a sandbox or pilot environment into an enterprise productionalised environment. You will discover how one can successfully deploy an enterprise and scalable AI in their operations.
Difficulty: Foundation
Duration: 120mins

Learn directly from an expert in this field!

With this online course, you will:

Skills

Artificial Intelligence

Machine Learning

Data Science

Business Development

Operationalising

The expert you’ll be learning from

David Hardoon

Chief Data Officer, Union Digital
David is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines. Concurrently David is an external advisor to Singapore’s Corrupt Investigation Practices Bureau (CPIB) in the capacity of Senior Advisor (Artificial Intelligence) and to Singapore’s Central Provident Fund Board (CPF) in the capacity of Senior Advisor (Data Science). At the Montary Authority of Singapore (MAS), David was formerly the 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. Within these roles, he led the development of the AI strategy both for MAS and Singapore’s financial sector, and he drove efforts to promote opening cross-border data flows. David has extensive exposure and experience in both industry and academia and he has consistently applied advanced technology with an analytical mindset to shape and deliver innovation. David holds a PhD in Computer Science in the field of Machine Learning from the University of Southampton and graduated from Royal Holloway, University of London with a First Class Honors BSc. in Computer Science and Artificial Intelligence. Out in the “field”, David is more likely to consider himself a data artist instead of a pure data scientist.

Course Curriculum

A brief introduction to Data Science & Artificial Intelligence (DSAI) for decision making. In this chapter, we will touch on some foundational concepts and their relevance to business processes.
DSAI has a lot of moving parts. In this chapter, you will get familiar with all the key components that should be in the forefront of consideration for the operationalisation of AI in your business.
In this chapter, we will consolidate all the previous chapters together to showcase how to operationalize DSAI in a practical environment.

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Lets Get Practical; Operationalising Data Science and AI

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CFTE’s brand new online learning platform! THINK produces and delivers dozens of bite-sized courses which will allow you to get a good understanding and be constantly updated about everything concerning Fintech!

Disruptive technologies and innovations don’t come on their own. They bring significant transformations and challenges both in terms of culture, people, jobs, environment and governance. Therefore we believe these topics can’t be separated from one another. 

The courses offered on THINK have slightly different approaches to the topics. You’ll find evergreen foundational-level courses which will help you get a good understanding without any prior knowledge, but you’ll also find courses that explore the players in the respective ecosystems, courses that explore the regulations of a certain field and even courses that dive deep into specific companies’ way of operating!

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Understanding how technology works, its potential and its limitations is essential to properly embrace it and leverage it. Even non-technical professionals need to get a comprehensive understanding of these tools, as they will have an increasingly important role in our lives.