COGNITIVE DOCUMENT PROCESSING
@ DEEPINSIGHTSTM

Enable straight through downstream processing

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SOLUTION HIGHLIGHTS

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The insurance industry relies heavily on manual processing of documents—submissions, policy endorsements, claims—delivered in many different formats and templates. This process requires valuable knowledge experts to analyze documents, which ultimately inhibits the ability to capture insights and analytics in a way that is both economical and time efficient. But through DeepInsightsTM, Mphasis eases this process. Features include: 
• Powerful cloud-based cognitive engine along with cognitive OCR
• Leverageable machine learning and deep learning algorithms
• An adaptable module that works with multiple file formats and types
• Innovative template agnostic designs
• Internal and external field validation
• Analytics and decision metrics from structured and unstructured data
• Cognitive analytics driven straight through processing


Technology:
R, Python, Tesseract, Keras, TensorFlow, Theano, WIT.AI, Mongo DB
Analytic techniques: Machine learning, neural networks, deep learning, graph theory, image analytics.
Use cases:  Broker submission, claims, MTA, invoice processing

TRANSFORMATION DELIVERED

 

BENEFITS