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With this online course, you will:
- Understand the foundational concepts of Data Science & Artificial Intelligence (DSAI) in business decision-making processes
- Recognise the key components essential for operationalising AI in a business context
- Gain insights into the practical aspects of deploying and integrating DSAI into business operations
- Develop strategies for effectively implementing DSAI to enhance efficiency and innovation
- Evaluate the potential benefits and challenges of integrating DSAI into existing processes
Join David Hardoon to explore Data Science & Artificial Intelligence (DSAI) which has the potential to revolutionise decision-making processes in businesses around the world. In this course, we will explore the foundations of DSAI and its relevance to business processes, as well as the key components that should be considered when operationalising AI in a business setting. We will also guide how to operationalise DSAI in a practical environment effectively.
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.
What are the Pieces of the DSAI Puzzle?
DSAI has a lot of moving parts. In this chapter, you will get familiar with all the key components that should be at the forefront of consideration for the operationalisation of AI in your business.
The integration of DSAI into business processes has the potential to significantly improve decision-making and drive efficiency and innovation. By understanding the foundational concepts of DSAI, considering the key components involved, and effectively operationalising AI in a practical environment, businesses can successfully leverage the power of DSAI to drive success.
Meet your instructor - David Hardoon
Chief Executive Officer of Aboitiz Data Innovation
Executive with 22 years of Data & AI experience in roles in senior management, start-up, advisory, research, academia, investment and board.
David led the development of the AI strategy for the Monetary Authority of Singapore's financial sector as well as driving efforts in promoting open cross-border data flows.
David pioneered the regulator and central bank adoption of data science as well as the establishment of the Fairness, Ethics, Accountability and Transparency (FEAT) principles, first-of-a-kind guidelines for adopting Artificial Intelligence in the financial industry.
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.