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. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

APRIL 20, 2023

In our previous blog post, Bridging the Gap Between Industries: The Power of Knowledge Graphs – part I , we talked about starting the day with our smart car looking out for us, powered by knowledge graph technology. One of the popular ontologies that are used to model the different components of a smart building is BrickSchema.

Optimization 52

Optimization Manufacturing Cost-Benefit Data-driven 52

Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. This requires new tools and new systems, which results in diverse and siloed data. And each of these gains requires data integration across business lines and divisions.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Ontotext

MAY 22, 2023

At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! With traditional data management systems, that can be difficult or in some cases can lead to more work than results.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Ontotext

JANUARY 20, 2022

They focus on business-specific information needs and how to properly source the needed data rather than analyze preexisting application models. They focus on business-specific information needs and how to properly source the needed data rather than analyze preexisting application models. Analyzing Unstructured Data with GraphDB 9.8.

Enterprise 52

Enterprise Unstructured Data Modeling Visualization 52

Ontotext

MARCH 23, 2023

Data management is becoming increasingly challenging for organizations. With an unprecedented amount and diversity of data coming from various sources, it’s like trying to put together a picture with pieces from different puzzles. In addition, there is a growing trend of automating data integration and management processes.

Management 52

Management Metadata Unstructured Data Data Integration 52

Ontotext

JANUARY 25, 2024

In the current data management landscape, enterprises have to deal with diverse and dispersed data at unimaginable volumes. Among this complexity of siloed data and content, valuable business insights and opportunities get lost. This is a core component of most data fabric based implementations.

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64