Automated Decision support is provided via RETE based rule engines and Machine learning engines (Flink with embedded tensor flow with IIT-M extensions)
Modules for building reports and BI visualization. Standard
templates and queries provide can help accelerate report development.
It is anticipated this is where vendors will add
functionality and differentiate their product.
The decision making engine can be further enhanced by vendors, to do domain specific tasks such as:
- Fraud and Risk Management rules
- Anti-money Laundering rules
- Circular trading rules
- NPA detection rules
- and many more....
FT @ RISE Group will incubate and host a variety of BFSI centric open source projects.
The first project aims to provide a comprehensive analytics and decision making
framework for the Banking and Insurance sectors.
Funding for the first project is
through CSR grants from City Union Bank Ltd.
We welcome every organization in BFSI sector to participate and reap the collective benefits.
