Enterprise Knowledge at Machine Scale

Our Perpetual Learning Machine is a first of its kind cognitive system that extracts information
from any text-based content to create a digital knowledge-base for use in advanced analytics applications

500K
Documents
Pre-trained model for the banking & insurance industry

1 billion

Triples

200 million

Relationships

40 million

Terms

5 million

Entities

Technology

Multi-layered; deep-learning technology

Natural Language Understanding

Our algorithms extend the conventional NLP to enable discovery of industry specific phrases, topics, entities and exposes latent relationships.

Knowledge Representation

Providing rich context for AI: information assets are converted into an ontology and processed thru a reasoner to derive latent knowledge.

Machine Learning

A combination of semantic and linguistic algorithms builds an unsupervised training model to create domain specific entity extraction models.

Deep Learning

A hierarchical knowledge model is created using deep learning to solve classification & aggregation use-cases.

Advanced Analytics for Banking & Insurance

Process Automation (PA)

Process automation requires intricate knowledge of a business, its policies and processes in combination with expert-level identification of relevant data. PA enables enterprises to automate knowledge-data interactions in loan underwriting and claims processing at massive scale in a fraction of the time.

Document Analytics (DA)

For any given project, there exists a massive volume of text-based content that must be read. DA enables the assimilation of contextually relevant information from multiple sources, reducing document-browsing time and allowing more time for strategic planning in regulation analysis, contract covenant management and financial research analysis.

Knowledge Discovery

The richest source of knowledge in an enterprise is hidden in unstructured data present in reports, manuals, presentations, policy and product notes. Experts need to extract industry-specific concepts, contexts and the relationships between them. Parabole KD allows data-discovery to power knowledge applications for strategic initiatives.

Industry leading solutions for the enterprise spanning the CRO, CFO, CDO & CCO groups

Using advanced cognition, we connect your unstructured data with traditional structured
data to solve complex challenges in risk, regulation and compliance

Regulation Analytics

Impact analysis, GAP analysis, Audit review, Evidence management, Dashboards

GDPR, CECL, IFRS-9, FRTB, Reg-W

Meta-Catalogue

Term discovery, Context discovery, Relationship discovery, Lineage discovery, Classification

Glossary creation, Data definitions, Metadata profiling

Anomaly Detection

Hidden relationships, information miss-match, lower false positives

Trade Based Money Laundering

Social Listening

Track sentiments, Contexts, Classification, Root cause analysis

Competition trending,Voice of customer

CIO Review- April 2018

20 Most Promising Cognitive Solution Providers 2018

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Resources

White Paper

Enterprise Knowledge at machine scale

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Datasheet

Automate regulatory impact analysis

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White paper

NLP: Brute force or intelligent design ?

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Learn how Parabole can help your team transform your AI ambitions to reality

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