AI in Finance and Enterprise

About This Course

Rationale & Objectives for introducing the course
It builds on two 21st century skillsets for business, Accountancy and Finance students: coding, analytics and AI with Deep Learning. Coding expands students’ digital literacy horizon. Analytical thinking puts together critical thinking and reasoning skill. AI will allow students to create state-of-the-art predictive and prescriptive technology which will eventually automate the process of Accounting and Finance. Increasingly, employers today mandate employees to be equipped with these skillsets to help to resolve organizations’ issues, automate business and accounting processes, data crunching, report generation and giving financial advices.

Deep learning AI will require Big Data to train the model and hence, students will need to know how to use Hadoop which is a distributed database. Likewise, large computation resources are required for deep learning with big data. Therefore, students will need to learn distributed computation like Spark. Lastly, cloud platform is the trend for AI as buying servers might not be the most cost efficient. Therefore, students will need to learn how to configure AWS.