Workshop on Predictive AI & Analytics

Artificial Intelligence is not a trend of the future; It is already very much deployed in business, commerce, and all walks of human life. With the growing availability of financial and customer data and efficiency in handling them for valuable insights, stock markets, and financial institutions have begun to leverage them wholly to benefit the stakeholders. The ways and means of using data for business insights are referred to as 'analytics. But as stakeholders of the financial system, do we know the big picture of AI, ML, and Analytics in the context of Finance? How is the numeric and textual data in finance used to build an environment that facilitates businesses to get insights, predict, and automate processes? How do these models outperform humans on a massive scale? What are the challenges and cautions of AI applications in Finance? The workshop is designed to address these learnings.

Artificial Intelligence – Framework, Facets in Finance.

Analytics in Finance – Statistical Methods and Machine Learning Applications

Credit analytics, Algorithm trading: Applications and Demonstrations

Text analytics in Finance – Architectures and applications

Concerns of algorithm-driven predictive automation.

Target Audience

Resource Person
Dr. K. Riyazahmed is an assistant professor of finance who specializes in studying and teaching financial analytics. He has produced research papers on artificial intelligence (AI) in finance, neural networks in finance, and case studies on algorithmic bias, ML and analytics.