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MODEL THE WORLD, MODEL THE MIND

MPHASIS DEEPINSIGHTS™ PLATFORM

Mphasis DeepInsights™ is a patented, cognitive intelligence platform, which enables enterprises to gain faster and more effective access to insights from data. Cognitive intelligence is one of the major pillars on which tomorrow's enterprises are being built. By re-defining nearly every aspect of inferencing and decision making, it is revolutionizing the competitive differentiation of enterprises. DeepInsights™ is powered by state-of-the-art algorithms in machine learning, neural networks, deep learning, semantics, image analytics, graph theory, predictive analysis, and natural language processing. This further 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.

COGNITIVE COMPUTING PLATFORM

 

Smart Data Ingestion

Machine learning-based intelligent extraction of data from thousands of file types including images, documents, PDFs, emails, and HTML

Cognitive Analytics

Deep analysis of structured and unstructured data using deep learning, neural networks, graph theory, image analytics, machine learning, and natural language processing

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

Versatile Interaction

Interacts with enterprise systems and channels such as virtual and human agents, databases, and application programming interfaces (APIs) across industries

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SOLUTION

 

I2I - An LLM-Powered Agentic System to Extract Insights from Data

I2I is an LLM-powered agentic system with a Talk to Data conversational interface for generating complex, statistically validated insights from enterprise data warehouse. It systematically breaks down a business objective into exploratory analysis questions, generates hypotheses and performs statistical tests to confirm the robustness of the finding. A semantic layer on top of the data warehouse ensures error-free data mapping by predefining custom business metrics and establishing consistent relationships across data sources. The system allows users to query and interact with enterprise data in natural language, enabling instant translation of objectives into validated insights.

I2I - An LLM-Powered Agentic System to Extract Insights from Data

SUCCESS STORIES

AI-powered due diligence platform for a Private Equity Firm


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AI-powered due diligence platform for a Private Equity Firm

Self-healing of IT Operations

Business Challenge
Numerous application support tickets, difficulty in identifying and prioritizing high risks, long cycle times, high manual intervention, and excessive effort to resolve incidences
DeepInsights™ Solution
Cognitive engine ingests data from event logs to identify events, predictive analytics engine predicts incidences that lead to IT infrastructure failures, identifies cause based on historical knowledge repositories using self-learning, uses RPA to automate resolutions and AI bots to resolve issues
Benefits
Over 95% accuracy in predicting events, reduced resolution times, expedition of resolution management with minimal manual intervention, enhanced infrastructure reliability due to automated, preventive maintenance schedules; and increased business continuity

 

Self-healing of IT Operations

Cognitive Next-best-action Prediction

Business Challenge
Large number of application support tickets, majority of ticket resolutions required minimal guidance, guidance systems were rule-based and unintelligent, and self-help systems could not learn from past data or patterns

DeepInsights™ Solution
Utilizes historical trend and pattern identification for ticket resolution and graphical models of probabilistic next resolution steps. Aggregates support data from relevant sources and recommends ‘next-best-action’ to support staff and users.

Benefits
Reduced time for closure of tickets, assistance on ‘next-best-action’, Self-help platforms for end-users, and natural, data-driven selection of better ticket resolution.

Cognitive Next-best-action Prediction

Cognitive Data Extraction & Analytics

Business Challenge
Lack of actionable insights from physical and digital sources; manual data analysis is challenging, costly, and low on accuracy; information resides in varied data and document types, and lack of information standardization
DeepInsights™ Solution
Machine learning for intelligent extraction and analysis of data, cognitive data extraction to convert documents to machine readable format, built-in big data analytics module for structured/unstructured data, and key metrics that trigger next steps in automation
Benefits
Over 95% accuracy in detection and extraction of key fields, reduction in data extraction time by over 70%, reduction in operating costs by over 50%, improved client satisfaction through near-real-time data analysis, and exponential reduction in turnaround time

Cognitive Data Extraction & Analytics

Policy Document Analysis & Chatbot-based Interaction

Business Challenge
Large proportion of in-bound queries from brokers and customers; manual data analysis is challenging, costly, and low on accuracy; need to respond in near-real-time; need to reduce demands on teams and prevent inconsistent responses to customer queries
DeepInsights™ Solution
NLP to understand the ‘intent’ of query and minimize manual intervention, cognitive data extraction to convert documents into machine readable format, built-in big data analytics module for structured/unstructured data, and 24/7 versatile customer interactions.
Benefits
Achieves over 97% accuracy in data extracted from policy documents, reduction from 60 to 5 seconds/field for time taken to find relevant information, reduction in operating costs by over 60%, and improved customer satisfaction through 24/7 query support

Policy Document Analysis & Chatbot-based Interaction

THOUGHT LEADERSHIP

 

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

 

Active Learning for Building and Maintaining High Performing Machine Learning Models

 

Enterprise Automation for Insurers