Enhance Insights with Enterprise Knowledge Graph

Enterprise Knowledge Graph

Connected Intelligence for Strategic Advantage As organizations gather extensive volumes of diverse data across business lines, the opportunity to extract unified understanding grows exponentially. However, information residing in application silos or disconnected systems limits strategic perspective. An enterprise knowledge graph (EKG) addresses this challenge by establishing a virtual intelligence nucleus linking relevant entities and semantics from distributed sources.

Entity Linkage

AI algorithms identify and connect related entities like customers, products or assets referenced across diverse sources.

Relationship Extraction

Semantic annotations reveal how extracted entities interact based on text, behavioral and event data analysis.

Data Discovery

Search and browse graph embeddings to find connected information popular for analytics and system integration needs.

Process Automation

Predefined event-based rules trigger actions when graph relationships meet specific conditions.

Case study 1

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laborisLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris

Go to Use Case Title

What Are the Advantages You Should Expect?

Context Awareness

Deeper insights emerge from exploring how different business facets interrelate beyond isolated viewpoints.

Knowledge Reuse

Common domains and taxonomies established in the EKG facilitate sharing understandings across divisions.

Data Virtualization

Applications and users leverage a virtual abstraction of truth computed dynamically from distributed sources.

Process Optimization

Automated decision-making based on relationship inferences improves consistency, compliance and resource allocation.

Enterprise Knowledge Graph

Case study 1

Go to Use Case Title

What Are the Advantages You Should Expect?

Have an idea?

Services

Solutions

Expertise

Company

Terms & conditions

Expertise

Solutions

Services

Insights

Company

Back

Expertise

Enterprise AI

Big Data

Data Science

Data Enigneering

Enterprise Solutions

Cloud Develoment

Back

Solutions

Banking & Financial Services

Healthcare

Retail & CPG

Industrial

Marketing & Advertising

Back

Services

Cutom Software Development

IT-Mangement Consulting

Quality Assurance

Enterprise Integration

Requirements Engineering

Maintanace & Back-office

Back

Company

Career

About us

Back

Intelligent Search

Enterprise Knowlege Graph

Anomaly Detection

Computer vision

Recomender System

Embeded AI

Back

Data Fabric

Data Warehouse

Data Lake

Data Mesh

DataOps

Data Management

Back

Data Visualisation

Predective Analytics

Prescriptice Analytics

Business Intelligence

AI Ethics

Data Analysis

Back

ETL/LTE

Data Migration

Strategy & Architechture

Administration

Monitoring and Troubleshooting

Backup & Disaster Recovery management

Back

B2B SaaS Development

Digital Experience Platform

Commerce Platforms

Supply Chain Management

Human Capital Manamgent

Marketing & Communication Platforms

Back

Applicattion Migration

Native Cloud Application