Rocket-Powered Data Science

JULY 6, 2021

Techniques that both enable (contribute to) and benefit from smart content are content discovery, machine learning, knowledge graphs, semantic linked data, semantic data integration, knowledge discovery, and knowledge management. Collect, curate, and catalog (i.e.,

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

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

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. To learn more, check out our post: An Integrated System for Global Tracking!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

DECEMBER 1, 2023

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. Sumit started his talk by laying out the problems in today’s data landscapes. Abstract art and knowledge graphs: embracing your mess!

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

SEPTEMBER 15, 2020

This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm. Maximize the usability of your data.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

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