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About Mphasis
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.
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- Version 1.6
- Sold by Mphasis
This is an AutoML solution which runs multiple ML models on the user data and selects the best model.
- Version 2.0
- Sold by Mphasis
Trailer Capacity Prediction helps in predicting volumetric capacity left in a trailer by classifying it into Quarter/Half/Full categories.
- Version 1.2
- Sold by Mphasis
This solution creates a 3D reconstruction from images using Structure-from-Motion (SfM) and Multi-View Stereo(MVS) techniques.
- Version 1.0
- Sold by Mphasis
This is a NLP based solution that can be leveraged for any text classification problem to get the best model through AutoML training.
- Version 2.0
- Sold by Mphasis
The solution provides occurrence and claim amount prediction for a policyholder. The solution is based on Regression and XG Boost.
- Version 2.1
- Sold by Mphasis
Quantum Emulator based vehicle damage classifier is a Hybrid QML image classifier designed to detect damaged vehicle images.
- Version 3.1
- Sold by Mphasis
ML based solution which classifies airline reviews into positive and negative sentiment categories.
- Version V3
- Sold by Mphasis
Machine learning based customer complaint ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.
- Version 3.4
- Sold by Mphasis
An ML based solution to group a corpus of documents into clusters based on topics
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