Artificial Intelligence & Machine Learning Company

Simulation of Intelligent Behavior in Computers

AI vs. ML vs. DL

Deep learning is a subset of Machine learning, and Machine learning is a subset of Artifical Intelligence, which is an umbrella term for any trained and smart computer program.

1. Real-time Loan to Value Ratio Indicators

Enable Banks to issue or restrict processing new loan applications based on LTV Ratio
Centralized Real Estate Centric Model representing all properties that are used as collateral
Phenomenal Reduction in Loan Processor's time

2. Loan Default Prediction

Visibility of all loan defaults by customer across all loan portfolios
Predictive Model to forecast loan defaults for customers
Marketing Team to target customers with Low indicators to upsell other Loan Products.

3. Loan Pipeline Optimization

Enabling data elements in the data lake and help the loan processors to understand their customers better and faster
A search engine to enable to search for customer profiles along with all loan activates
Connect to SaleForce.com (http://SaleForce.com) platform and ingest Loan pipeline data into the data lake

4. Real-time Liquidity Risk Dashboard

Track Deposits, Withdrawals, and Loan Payments as they occur and how It impacts the Bank’s Risk
Built a Monte-Carlo Simulation models to run what-if analysis
Dashboard with all critical KPIs required to monitor the Operation and Credit Risk Indicators

Fraud Detection

Machine Learning

As a top-down approach create a profile that includes a list of various areas of possible fraud occurrences and their probable fraud types from the quantitative data.

Risk Measurement

Quantify the risk of fraud and deal with the high priorities by monitoring the ones crossing the statistical parameters.

Ad-hoc Testing

Perform ad-hoc testing and identify indicators of fraud and establish a good risk-assessment system.

Pattern Investigation

Investigate patterns and indicators that emerge in the process.

Report and Fix

Event-driven notifications to the management immediately with the mishappening activity monitoring and alerts and fix any broken controls immediately.

Build the model and Repeat

Quantify the impacts on customizable dashboards and build a cost-effective program with immediate returns - Implemented in Financial Institutions.