How banks can stay ahead with Machine Learning?
- 12th September, 2019
- By Girish Chandra Bharti
Consumers are looking for more than just banking and machine learning helps banks deliver that.
Machine learning contributes to areas such as credit decisions, risk management, personalized customer experiences, fraud detection, automation and much more.
In this video, our expert from the MachineX team will address the following points:
- An overview of the banking sector and its importance in the economy
- The top 5 banks in the US benefiting from the power of machine learning
- The areas in banking where Machine Learning is applied
- A live session demonstrating a sample application for fraud detection in banking
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Girish Chandra Bharti
Module Lead Software Consultant
Girish is a Software Consultant, with experience of more than 3.5 years. He is a scala developer and very passionate about his interest towards Scala Eco-system. He has also done many projects in different languages like Java and Asp.net. He can work in both supervised and unsupervised environment and have a craze for computers whether working or not, he is almost always in front of his laptop's screen. His hobbies include reading books and listening to music. He is self motivated, dedicated and focused towards his work. He believes in developing quality products. He wants to work on different projects and different domains. He is curious to gain knowledge of different domains and try to provide solutions that can utilize resources and improve performance. His personal interests include reading books, video games, cricket and social networking. He has done Masters in Computer Applications from Lal Bahadur Shastri Institute of Management, New Delhi.
