- Version 2.1
- Sold by Mphasis
The solution uses a heuristics based approach to optimize crew swapping during reassignments due to flight delays
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 uses a heuristics based approach to optimize crew swapping during reassignments due to flight delays
This solution generates a standardized output for input files from various sources containing insurance policy related data.
A Deep Learning based model which provides syntactically and semantically correct Go language code recommendations for an input text query.
The solution provides 30 days forecast of web traffic using historical web traffic data.
This solution automatically identifies and trains the best performing deep learning model for image classification.
Image analytics-based solution to classify salient surface defects in copper strip.
This solution generates an image from scratch incorporating elements described in the text prompt.
The solution measures ML robustness towards induction of predesigned noises in the dataset while training classifier on tabular data.
This solution predicts sentiments for employee reviews on 5 aspects - career opp, comp & ben, work life balance, work culture & leadership.
This solution analyzes complaint narratives of credit card customers to identify those which may require a monetary compensation.
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