The Next Applied
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A BRAVE NEW WORLD 

Our focus is on research and innovation that accelerates the next paradigms

NEXT LABS

 

NEXT Labs vision is to become the preferred innovation partner for our clients. Set up in March 2015, our lab focuses on research and innovation on emergent and future paradigms related to Mphasis’ focus areas through disruptive world class innovations, thought leadership, and industry relevant solutions. NEXT Labs houses a core diverse set of passionate people who work on cutting-edge innovations and industry relevant solutions. Our innovators collaborate with internal stakeholders, leading academia, start-ups, and technology partners across the globe towards crafting solutions that are guided by our client’s needs. NEXT Labs is very closely tied with the Mphasis delivery arm to ensure quick and successful application of the research outputs/innovations to live client projects.

PATENTS

 

US Patents

•  System and method for computing critical data of an entity using cognitive analysis of emergent data (US10353929)

•  System and method for optimizing aggregation and analysis of data across multiple data sources (US10726038)

•  Method and system for automated creation of graphical user interfaces (US 10,824,401)

•  Adaptive system and a method for application error prediction and management [US11010232 (B2) ]

US Patents

European Patent

An adaptive system and a method for application error prediction and management

European Patent

SOLUTIONS

 

DeepInsightsTM

A patented, cognitive intelligence platform, DeepInsights™ enables enterprises to gain faster and more effective access to insights from data, redefining every aspect of inferencing and decision making. It enables enterprises to engage with their customers through personalized experiences and explore newer business models that leverage the potential of anywhere, anytime, on any device computing capabilities.

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DeepInsightsTM

Quantum Computing

Quantum computing enables building systems which include richer data handling and processing elements, as compared to the ones currently being used by traditional computing systems. Mphasis is at the forefront in using quantum computers for machine learning, optimization and simulation problems. Mphasis EON (Energy Optimized Network) is a patent pending, classical-quantum hybrid network, consisting of energy optimization, quantum circuit and deep neural network layers.

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Quantum Computing

Synth Studio

Mphasis’ Synth Studio is a patent-pending enterprise synthetic data generation solution that generates high-quality synthetic data to monetize trustworthy business insights, while preserving privacy and protecting data subjects. Its AI-generated synthetic data enables organizations to leverage data’s maximum potential to cross-collaborate and build reliable and highly accurate assets with no or minimal loss of data privacy and utility.

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Synth Studio

PACE-ML

Mphasis framework and methodology to automate multiple stages in the machine learning (ML) pipeline, accelerating the lifecycle of development, deployment and productionizing of ML algorithms. PACE-ML is a combination of Mphasis proprietary tools and methodologies along with best in class third party as well as open-source tools.

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PACE-ML

Responsible AI

Responsible AI provides explanation to models that make AI trustworthy, accountable and bias-free. Mphasis Responsible AI is an end-to-end framework that enables companies to develop and deploy robust, interpretable, explainable, bias-free, auditable, and privacy preserving AI through a unique user experience and design thinking engagement. This makes the system trustworthy, thereby improving customer experience, reducing liability risk and ensuring regulatory compliance.

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Responsible AI

HyperGrafTM

A patented, comprehensive, feature-rich, business intelligence and analytics solution, HyperGraf™ generates actionable insights by bridging the gap between enterprise data and external & third-party data such as social media, credit scores, open data and other multimedia datasets. It is a cloud-based solution that incorporates in-depth domain expertise and is flexible and customizable. HyperGraf™ is offered as a platform as a service, low-cost solution with no upfront investments and pay-as-you-go-based pricing.

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HyperGrafTM

Autocode.AI

Autocode.AI is a patented, deep learning driven framework to automate code creation from unstructured inputs. It uses deep learning techniques to learn and generate drafts, identify objects, trains adversarial networks to create new patterns and helps deployment and management.

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Autocode.AI

InfraGraf®

A patented, intelligent infrastructure automation platform, InfraGraf® is a big data, complex event processing engine. It enables enterprises to innovate and make strategic decisions about their technology infrastructure through actionable insights by correlation and causation analysis of structured and unstructured data.

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InfraGraf®

Cognitive Microservices

The re-usable repository of Machine Learning and Deep Learning use cases and algorithms. This cloud based repository is self-sufficient, allowing developers to focus on feature enhancements and not algorithm development. This helps reduce the time, cost, effort, complexity to go from data to insights.

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Cognitive Microservices

Cognitive Twin

An AI-driven technology assist platform. Cognitive Twin helps technology workforce across scenarios such as search, domain support, effort estimation, code insights, testing, risk analytics, complex code analysis, technical, architectural, infrastructure, standardization, functional as well as non-functional queries and provide the relevant answers, suggested actions, precedents, and trade-offs.

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Cognitive Twin

Optimize.AI

Optimize.AI performs complex cognitive process mining activities based on user and system interaction data. This AI centric approach mines the workflow event logs to understand the AS-IS user behavior and uses it for process discovery and future behavior prediction. Mphasis’ Optimize.AI is an AI-driven user journey analysis engine that ingests event data from process, performs process discovery, identifies user journey, analyzes critical path and re-creates scenarios.

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Optimize.AI

DIFFERENTIATORS

 

EMERGING PARADIGMS INNOVATION

 • Artificial Intelligence,
      Machine Learning, Deep Learning
      • Cloud Computing
      • Graph Analytics
      • Multimedia and streaming analytics
      • Internet of Things and ambient
      intelligence
      • Pervasive computing, AR and VR

OPEN INNOVATION

 • Crowdsourcing
      • Intellectual property licensing
      • Academic partnerships

BUSINESS INNOVATION

• Digital business models
     • Cognitive Workshop led solutions
     • Governance, Risk & Compliance      analytics
     • Hyper-personalization and
     recommendations
     • Industry vertical-specific solutions

SERVICES INNOVATION

• Intelligent infrastructure services and
     preventive maintenance
     • Automated workflows, staffing,
     incidence management and testing
     • Process mining and enhancements

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RECOGNITIONS

 

 

THOUGHT LEADERSHIP

 

Quantum News Sentiment Analyzer

Airline Crew Rostering

Label Artwork Template Generation using Cognitive Automation

Data Augmentation Techniques for Tabular Data

Last-mile Route Optimization

Extrapolation Using Regression: Challenges and solution

Anomaly Detection Using Azure Quantum QIO (Quantum Inspired Optimization) Platform

Deep Learning and Image Analytics to Monitor Healthcare Guidelines and Workplace Safety

 

Using Automated Machine Learning to Detect and Mitigate Demographic-oriented Biases

 

Facial AI in Insurance Whitepaper

 

Demystifying Bias Detection and Mitigation in Machine Learning

 

Active Learning for Building and Maintaining High Performing Machine Learning Models

 

Online Recommendation Systems: A special case of information filtering systems

 

AutoML: Automating the Machine Learning Pipeline

 

Responsible AI in Large Scale Machine Learning System

 

Quantum Computing & Quantum Machine Learning

 

Mphasis EON: Quantum Computing Framework

 

Explainable AI for Mitigating Biases in Judgment Systems

 

Machine Learning & IT Operations to Manage End-to-End Machine Learning Life Cycles

 

Drift Velocity in Machine Learning

 

A Framework for Code Vulnerability Detection

 

Improving Search Relevance in Question Answering Engine

 

Stop Chasing the ROI! Focus on ROIC

 

Understanding the Credit of Technical Debt in Data Science

 

Big Data Variety And Veracity

 

Data Science Ecosystem

Email Analytics for Customer Experience

An Intelligent System for Email Segregation and Routing: A Cognitive Approach

Insurance Telematics Analytics

Deep Learning in Computer Vision

Deep learning for NLP based Context Specific Spelling Error Correction

Deep Learning in Natural Language Processing

Cognitive Computing And Implication For BFSI

Insurance Futures: Digitizing Value Network Insights 

Intelligent Infrastructure Analytics

Measuring Brand Reputation Through Social Media

Social Streaming Analytics of Multi-structured Data

Social Network Analysis Approaches for Fraud Analytics

The Great Indian Diwali Sale - Part 1

The Great Indian Diwali Sale - Part 2

Intelligent System For Email Segragation And Routing

Deep learning for NLP based Context Specific Spelling Error Correction

Deep Learning in Natural Language Processing

Cognitive Computing And Implications For BFSI

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SUCCESS STORIES

 

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PARTNERS

AWARDS

 

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