Ontotext

JULY 29, 2021

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. It is these two important types of data, which, taken together, implement the Semantic Web vision bringing forward innovative ways of tackling data management and data integration challenges.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Data-driven 69

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

NOVEMBER 11, 2024

This often leaves business insights and opportunities lost among a tangled complexity of meaningless, siloed data and content. Knowledge graphs help overcome these challenges by unifying data access, providing flexible data integration, and automating data management.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52