At the heart of Front2Back Transformation  is harnessing the power of Cognitive which serves as your Systems of Intelligence. However, without an overall data strategy that includes applied machine learning and artificial intelligence to bring hidden value from the data, you will not have an edge over your competition. Most of the innovation is coming from linking the datasets, which were hard to manage earlier, with cognitive computing - human-like thinking and computer’s unparalleled efficiency.


Mphasis innovation labs are leading the innovation with following offerings:


  • Cognitive Analytics
    Using Deep Learning with Neural Networks, Graph Theory & Big Data Analytics to convert Data to ‘Smart Data’
  • Contextual and Temporal Decision Making
    Relationships are inferred from data and instantly made visible to generate insights and trigger workflows for Robotic Process Automation (RPA)
  • Machine Learning
    Leveraging Pattern Recognition, Natural Language Processing (NLP) & Machine Learning for intelligent extraction of data from thousands of structured/semi-structured/unstructured file types including images, documents, PDF, and HTML




We have developed the following AI & Machine Learning accelerators that can be quickly customized to fit a customer need:




  • A cognitive computing platform for deep analysis of structured and unstructured data sources
  • Provides the most contextual and accurate decision metrics
  • Machine Learning based intelligent extraction of data
  • Cognitive decisioning using unstructured data by inference-based rules 
  • Triggers automated decisions.


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    Smart Document Ingestion

    Machine Learning based intelligent extraction of data from thousands of file types including images, documents, PDF, emails and HTML
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    Cognitive Analytics

    Deep analysis of structured and unstructured data using through Deep Learning, Neural Networks, Graph Theory, Image analytics, Machine Learning and Natural Language Processing
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    Automated Decision-Making

    Contextual and temporal decisioning to generate the right insights from documents and trigger downstream workflows for manual actions or Robotic Process Automation
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    Versatile Interaction

    Interact with enterprise systems and channels such as virtual and human agents, databases as well as APIs across industries such as Wealth Advisory, Trade Finance, Insurance and Banking




  • An intelligent platform to optimize & automate technology infrastructure 
  • Identifies & predicts key incidences leading to major failures in infrastructure
  • Identifies complex interdependencies in systems
  • Automates repeatable tasks with respect to monitoring and resolution


  • Device health prediction
    Provides early warning system for device and component failure.Identifies inter dependencies, cascading and ripple effect.

  • Spare part inventory management
    predicts inventory requirement at each and every location to reduce costly downtime and optimized inventory

  • Storage management
    Optimizes on premise and virtual server capacity. Predicts the demand and suggest the need to go on cloud

  • Root cause analysis
    Generates root cause analysis of incidences, failure and performance. Provides drill down geo spatial analysis

  • Optimization
    Prediction model helps in optimized maintenance schedule, service downtime and respective resource planning

  • Service contracts
    Redesigns the vendor SLA and insurance contracts on the basis of business priorities and device health index for optimized cost

  • Incidence management
    Incidence management platform offers Intelligent ticket routing, in depth incidence analysis and SLA breach reporting

  • Self heal
    Identifies the defectsand automates the repeatable tasks with respect to monitoring and resolution

  • Optimal network design
    Redesigning the network to optimize performance by monitoring and predicting redundancies and Errors

  • HyperGraf™


    • An omnichannel Digital 360 solution
    • Comprehensive real-time customer insights
    • Generates enterprise metrics using enterprise data and channels 
    • Leverages third party & social data to provide insights at the profile level





    • Automate AML alerts investigation through a knowledge-assisted process
    • Efficient and low cost compliance for your Know Your Customer (KYC) needs
    • Automated monitoring of Trade-Based Money Laundering (TBML) based on industry standard red flags
    • Efficient and low cost Financial Crime Investigation through artificial intelligence