Ontotext

AUGUST 3, 2023

This has enabled them to meet the requirements coming from heterogeneous data in building automation systems, the interoperability issues critical for design engineering and, last but not least, the challenges in air-traffic control.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

AUGUST 22, 2023

As a result, organizations have spent untold money and time gathering and integrating data. While Big Data was all the rage, now “small and wide” data is the focus, giving more specificity to the information being developed. However, for this to happen, there needs to be context for the data to become knowledge.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. In “information retrieval” language, we would say that we have high RECALL, but low PRECISION.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

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.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

MARCH 8, 2023

Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to siloed experiences. Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

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 Strategy 69