- Version 1.2
- Sold by Mphasis
Given a scanned document, this deep-learning solution enhances the document quality by removing unwanted elements like dots, lines, smudges.
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.
Given a scanned document, this deep-learning solution enhances the document quality by removing unwanted elements like dots, lines, smudges.
A deep learning based solution that extracts insights in response to the factoid questions with respect to the context passage.
Estimating GenAI(LLM) Model Reliability Through Evaluation of Factual Consistency.
This solution helps in processing textual data to identify geopolitical entities present in the corpus of text.
Segmentation and forecasting of incidents by CI, applications and criticality for efficient resource planning and management.
This is a Natural Language Processing based solution which can detect up to 8 aspects from online product reviews for storage devices.
Network measures and visualization of key terms and their associations from a corpus of text
A Natural Language Processing (NLP) based solution to identify key topics present in credit card specific customer complaints.
Analyse the layout of a document page's contents and segment logical blocks into categories like paragraphs, tables, images, headers etc.
This solution provides 30 weeks of forecast of passengers who are expected to travel using historical weekly passenger traffic data.
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