- Version 1.6
- Sold by Mphasis
This is a Natural Language Processing based solution which can detect up to 5 aspects from online product reviews for tripods.
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 1.2
- Sold by Mphasis
This is a Natural Language Processing based solution which can detect up to 8 aspects from online product reviews for Stylus.
- Version V-3
- Sold by Mphasis
Machine learning based application ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.
- Version 1.2
- Sold by Mphasis
Quantum simulator based content clustering solution designed to cluster coherent news headlines.
- Version 2.0
- Sold by Mphasis
Deep learning based solution to correct flipped pages in scanned documents to improve performance of document processing pipelines.
- Version 1.0
- Sold by Mphasis
A sector agnostic GNN-based custom rules recommendation for device management using preset internal links for personalized automation.
- Version 3.1
- Sold by Mphasis
The solution provides 24 hours of future forecast of tickets of varying severity levels using historic data.
- Version 1.1
- Sold by Mphasis
Descriptive analysis and visualization of key variables from the US Basic Monthly CPS (Current Population Survey).
- Version version 1
- Sold by Mphasis
The solution tests and validates the input dataset sanity requirements with respect to Classification modeling
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