- Version 3.1
- Sold by Mphasis
This solution helps in extracting legal names of organizations and their aliases from text 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.
This solution helps in extracting legal names of organizations and their aliases from text documents.
This solution analyses ECG waveform data and classifies each peak as normal or one of the types of arrhythmia.
This solution helps improve the resolution and detail of images with advanced AI-based image super resolution techniques.
This is a NLP based solution which can detect up to 9 aspects and their respective sentiments from online product reviews for routers.
The solution analyses customer characteristics to predict which customers are more likely to discontinue using their credit card provider.
This solution is a deep learning-based trainable algorithm, capable of detecting anomalous behavior in IoT sensor data.
This solution uses collaborative filtering to recommend top items for users based on their buying patterns.
Image analytics-based solution to classify salient surface defects in steel strip.
This is a trainable algorithm which detects and recognizes faces of individuals on which the model is trained.
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