- Version 2.1
- Sold by Mphasis
The solution extracts the metadata and formatting related information from digital documents.
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 extracts the metadata and formatting related information from digital documents.
This solution automatically identifies and trains the best performing deep learning model for image classification.
Image analytics-based solution to classify surface defects in sheet steel.
This solution predicts flight delays based on factors such as route, airport congestion, airline efficiency etc. using a trainable ML model
This is a psychology-based social media data analysis algorithm which determines important life events of a person
This is an AutoML solution which runs multiple ML models on the user data and selects the best model.
Trailer Capacity Prediction helps in predicting volumetric capacity left in a trailer by classifying it into Quarter/Half/Full categories.
The solution provides occurrence and claim amount prediction for a policyholder. The solution is based on Regression and XG Boost.
Quantum Emulator based vehicle damage classifier is a Hybrid QML image classifier designed to detect damaged vehicle images.
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