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Make Data Discoverable & Interoperable!

A holistic framework to build various domain-driven micro perspectives/views over disparate data systems providing fine-grained control and decentralised ownership to data producers. Building Data as a product, contextualised to a specific micro perspective with a built-in feature set consisting of semantic search and question-answering for improved discoverability & interoperability. Providing Access control over the data products promoting data democratisation and centralised data governance harbouring seamless data mobility.

A Versatile Approach

Knowledge Mobility Framework

KNOWLEDGE GRAPH

Knowledge Graph is a means to connect and represent knowledge and enable machines to incorporate human expertise for making meaningful & insightful decisions .

DATA AS A PRODUCT: KNOWLEDGE POD

Access domain-driven data products with in-built feature sets like Semantic Search, Natural Language Question-Answering, Graph Exploration, and Entity 360* via Knowledge Pods to discover, explore and analyze data for improved discoverability & interoperability

Semantic Search
Question-Answering
Graph-Exploration

COMPONENTS

Underlying Knowledge Graph Ecosystem enables the automation of the built-in features of the data products.  
 

Entity 360*

COLLABORATE

Build, fetch, collaborate, and share data across the organization by replacing traditional methods of information exchange in the form of bespoke data, analytics and visualization with Knowledge Pod.

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DISCOVER

Semantic search, Entity resolution and Natural Language 
Question Answering components help with faster time to Knowledge

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EXPLORE

Visualise data and its relationships with a Graphical 
Interface for deeper insights

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AUTOMATE

Underlying knowledge graph Ecosystem enables automation 
of data contextualisation which powers Semantic search and Entity 
360* components

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BRING CONTEXT INTO AI

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AUGMENT ANALYTICS

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ADVANCED FEATURE ENGINEERING FOR ML MODELS

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CONNECT DATA SILOS

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DEPLOY AI WITH CONFIDENCE

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INSIGHTFUL TEXT ANALYSIS

BENEFITS

UNIFY DATA
REDUCE 
DATA INTEGRATION
COSTS


-40%
HOLISTIC & DATA-CENTRIC 
DECISION-MAKING

 
SEMANTIC AI
FASTER TIME TO
KNOWLEDGE


-60%
SMARTER SEARCH, W3C STANDARDS COMPLAINT & DEEPER INSIGHTS
 
DOMAIN DRIVEN
DATA OWNERSHIP
IMPROVE BUSINESS DOMAIN AGILITY, TIME-TO-MARKET & SCALABILITY
ENHANCED DATA GOVERNANCE
& DEMOCRATISATION

 
MOTIVATION
Information access applications will have a fundamental overhaul from traditional methodologies towards incorporating Knowledge Graphs and NLP for understanding the language and terminology of your industry’s domain; which are predicted to be ubiquitous and game-changing.
GARTNER PREDICTS EXPONENTIAL GROWTH OF GRAPH TECHNOLOGY
Gartner Inc. has forecasted that graph technologies will be used in 80% of data and analytics projects by 2025, up from just 10% this year

Gartner Inc. has forecasted by 2024, companies using graphs and semantic approaches for natural language technology projects will have 75% less technical debt than those that don’t.
 
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Tel: +91-9849795555

THUB, Hyderabad Knowledge City, Serilingampally, Hyderabad, Telangana 500081

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