IBM Big Data Hub

APRIL 15, 2024

Coupled with search and multi-modal interaction, gen AI makes a great assistant. Various initiatives to create a knowledge graph of these systems have been only partially successful due to the depth of legacy knowledge, incomplete documentation and technical debt incurred over decades.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

Ontotext

MARCH 8, 2023

Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

AUGUST 22, 2023

The age of Big Data inevitably brought computationally intensive problems to the enterprise. Get these wrong and chances are your enterprise processes and systems will suffer. With semantic metadata, enterprise data gets linked to one another and to external sources. How to Get a Semantic Edge?

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

datapine

NOVEMBER 19, 2019

This can be done with the help of socializing ideas within an Enterprise Business Intelligence tool, be it with or without an Enterprise Social Network (ESN). This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence?

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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

Knowledge graphs can also enable the creation of “digital twins”, which make sense of the collected data from various sensors in different systems, spanning the entire vehicle lifecycle. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

OCTOBER 28, 2021

FROCKG (Fact Checking for Large Enterprise Knowledge Graphs) is a Eurostars-2 project that aims to develop efficient approaches to ensure the veracity of facts contained in enterprise knowledge graphs. Knowledge Graph Visualization and Exploration with metaphactory. LinkedLifeData Inventory Pre-loaded In GraphDB.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52