- Version 3.1
- Sold by Mphasis
The solution provides 24 hours of future forecast of tickets of varying severity levels using historic data.
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 provides 24 hours of future forecast of tickets of varying severity levels using historic data.
Descriptive analysis and visualization of key variables from the US Basic Monthly CPS (Current Population Survey).
The solution tests and validates the input dataset sanity requirements with respect to Classification modeling
This solution generates enhanced class labels for user provided unlabeled text data.
This solution extracts all tabular data pertaining to the Cash Flow Statements in a company's annual report.
This solution helps in pre-processing textual data to provide useful information for further text analytics.
An NLP based approach to identify relationship among entities in a corpus of text and present them as triplets of Subject-Predicate-Object.
This solution analyzes complaint narratives of money transfer services customers to predict those which may require a monetary compensation.
Machine learning based help desk ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.
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