Ontotext

AUGUST 22, 2023

Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. computer manufacturers are relying on knowledge graphs (and GraphDB) in their operations.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

OCTOBER 28, 2021

This might be sufficient for information retrieval purposes and simple fact-checking, but if you want to get deeper insights, you need to have normalized data that allows analytics or machine interaction with it. Semantic Data Integration With GraphDB. Knowledge Graph Visualization and Exploration with metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Modeling 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

FineReport

JULY 16, 2021

Business intelligence system is a set of complete solutions using technologies, processes and applications. In addition, it can extract useful data from different business systems of an enterprise for storing, analyzing, and managing internal data. Data Analysis. It is an active method of automatic discovery.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98