Vice President at Apar Technologies Pvt. Ltd, India
Mathew Joseph is the Vice President of Apar Technologies Pvt. Ltd. He is the Head of Artificial Intelligence Labs for CIMB Bank. An Alumnus of the University of Chicago and a keynote speaker, he is known for his thought leadership in the area of Artificial Intelligence and Machine Learning.
He is a keynote speaker in many conferences and universities. He is also a mentor for many start-up companies in the Artificial Intelligence domain.
He is leading the ideation, design, development and implementation of Artificial Intelligence solutions for the CIMB bank in seven countries in Asia. CIMB is the fifth largest banking group in the ASEAN region having operations in 16 countries across Asia and having total assets RM 558 billion.
Mathew has completed his post-graduation in Data Science and Machine Learning from the University of Chicago and B.Tech degree from College of Engineering, Trivandrum, India. He has over 28 years of experience of innovation, software development and Project management. Earlier he worked with IBM, Siemens and TCS. He is a certified Project Management Professional and a certified Industry Consultant.
Session: Reinvent Bank using Artificial Intelligence
Reinvent Bank using Artificial Intelligence
The session will cover real-life use cases to show-case how Artificial Intelligence and Machine Learning is used to reinvent banks by providing personalized services and products to the customers on a real-time basis. Different use cases to show how artificial intelligence and machine learning is helping the banks to redefine their business horizons, drive business strategies, gain business insight and understand customers to give real-time personalized services.
The traditional mode of banking is changed completely. Using machine learning models, the services and products are customized based on customer demographics and propensity. The bank has grown into a financial partner to each customer for his everyday financial needs. Bank has established tie-ups with every merchant and agencies where the customers need to spend their money and using machine learning models, real-time recommendations are provided to each customer based on his real-time location.
The session will also cover the real-life story of a multi-national bank which launched a 100% digital bank in an Asian country and grew from zero to 2.4 million customer base within 14 months by using different machine learning models.
Learning outcomes:
- Learn how to use Artificial Intelligence to reinvent the bank
- Machine Learning use cases for customer propensity and market analytics
- Drive business strategy using artificial intelligence
- Business decision management using artificial intelligence
Additional information and programme of International Conference on Robotics, Automation & Artificial intelligence Systems – here
