PIEXCHANGE
 
 
  • Banking and Financial Services
  • Telecommunications
  • Marketing
  • Manufacturing
  • Public Sector
  • Logistics & Supply Chain

Banking and Financial Services

With the advent of AI & Analytics, every industry is reinventing itself, and banking and financial institutions are no exception. It is now a need of the hour to derive insights from the heaps of data that exists in the databases to redefine customer experience and drive business use cases to mitigate financial risk and maximize return on investment.

Credit Management

Leverage machine learning and deep learning to build credit scoring models that will analyze past historical data to predict the probability of customer default, revamp credit approval and optimize portfolio management. Minimize fraud by serving customers who rightfully deserve credit and save time and resources that would otherwise be spent on detecting and handling fraudulent cases.

Financial Crime

Train and deploy models that can quickly and easily detect suspicious and fraudulent activities in real time to combat money laundering. There are increased regulations from governments and financial institutions worldwide to prevent security breaches. Generate insights from data residing in data lakes and data pipelines to learn about fraudulent and malicious behavior and prevent customers’ financial data.

Targeted Marketing

Analyze customer journeys to learn about customers’ tastes, preferences, and buying patterns to deliver personalized services. Take personalization to a whole new level by using sophisticated Natural language Processing (NLP) techniques such as sentiment analysis and information extraction to understand human emotions and form long-lasting customer relationships through continuous innovation.

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