Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems. Sumit started his talk by laying out the problems in today’s data landscapes.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. standards modeled in a knowledge graph!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

AUGUST 31, 2023

The growth of large language models drives a need for trusted information and capturing machine-interpretable knowledge, requiring businesses to recognize the difference between a semantic knowledge graph and one that isn’t—if they want to leverage emerging AI technologies and maintain a competitive edge.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

Ontotext

AUGUST 10, 2023

Their interoperability and the supported network standards for communication enable devices to seamlessly connect and interact regardless of make, model, or operating system. They make this possible by adding domain knowledge that puts your organization’s data in context and enables its interpretation.

Technology 52

Technology Knowledge Discovery Interactive Enterprise 52

FineReport

JULY 16, 2021

Among these problems, one is that the third party on market data analysis platform or enterprises’ own platforms have been unable to meet the needs of business development. With the advancement of information construction, enterprises have accumulated massive data base. Hoewever, it can be a double-edged sword for enterprises.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

Ontotext

AUGUST 19, 2020

XML and later JSON were the languages that enabled data interchange by establishing a common data model by establishing a standard description of the data being shared. Beyond the ability to ensure there was an enterprise wide data model, it was also possible to reuse data but with different metadata and schema.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

Ontotext

SEPTEMBER 15, 2020

There must be a representation of the low-level technical and operational metadata as well as the ‘real world’ metadata of the business model or ontologies. Ontotext’s Platform for Enterprise Knowledge Graphs. 10 Steps toward a Data Fabric with Knowledge Graphs. Create a human AND machine-meaningful data model.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

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. Visual Ontology Modeling With metaphactory. Today, users from the general public, journalists, etc.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

APRIL 4, 2019

The conversation covered a wide range of topics from the tasks Artificial Intelligence (AI) can handle and the challenges it poses, to “fake news”, the intelligent enterprise of the future, cancer and much more. Milena Yankova : Our work is focused on helping companies make sense of their own knowledge. How do you help?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

The Unofficial Google Data Science Blog

JANUARY 14, 2016

As with any enterprise, the goal of the service provider is to better satisfy its users and further its business objectives. Of particular interest to LSOS data scientists are modeling and prediction techniques which keep improving with more data. A consequence of the LSOS business model?

Experimentation 41

Experimentation Statistics Metrics Measurement 41