- Version 1.1
- Sold by Mphasis
The solution analyses customer characteristics to predict which customers are more likely to leave the bank.
Mphasis applies next generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis FrontBack™ Transformation approach. 'Front2Back' uses the exponential power of cloud and cognitive to provide hyper-personalized digital experience to clients and their customers. Mphasis Service Transformation approach helps 'shrink the core' through application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world.
The solution analyses customer characteristics to predict which customers are more likely to leave the bank.
The solution uses a classical regression approach to predict the number of customers churning in/out of a given insurance premium policy.
Image analytics-based solution to classify salient surface defects in aluminium die casting.
Comprehensive solution which uses Deep learning & Computer Vision to correct tilt, contrast/brightness & flipped pages in scanned documents.
Ensemble Machine Leaning algorithm-based solution that predicts the probability of fraud for auto insurance claims.
Deep Learning based low-code solution which generates HTML, CSS, HTML-JET code from hand drawn wire frames as well as visual designs.
This Natural Language Processing based solution helps in identifying multiple intents of inbound life insurance email queries.
The solution runs user specified feature selection tasks on input data and provides relevant features as output.
A News Sentiment Analyzer for tracking developments around COVID-19 pandemic.
Quantum annealing based dispatch automation and route optimization solution for supply chain management
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