Presentation on September 28-29, 2017, at the 5th Annual BayesiaLab Conference:
Credit Card Fraud and Anomaly Detection using Bayesian and Neural Networks
In the presentation, we will discuss about how we created a real-time, self-learning, automated system for Fraud Detection for a Fortune 500 Bank, using artificial intelligence, machine learning, Bayesian Networks and Neural Networks. We will showcase the challenges we face in building the same and how we overcame them to prevent fraud worth millions of dollars.
We will also discuss in depth about Anomaly Detection which was implemented to understand about consumer behavior and purchase patterns. This essentially led to better customer retention and satisfaction by identifying key behavioral patterns and critical trigger recommendations.
Ajith founded Dextro Analytics, with the vision of integrating analytics and technology to help global companies solve the same problem differently. He pioneered in utilizing novel approaches and creating cloud-based products in the form of decision support systems. He has worked with over 50 global companies to help them improve effectiveness in marketing, operations, and supply chain.
Ajith specializes in wide range of machine learning, causality, and artificial intelligence algorithms. He has extensive experience in novel techniques such as Deep Learning, Neural Networks, Bayesian Networks etc. and is an expert in building cloud-based applications