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?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Ontotext

OCTOBER 28, 2021

This might be sufficient for information retrieval purposes and simple fact-checking, but if you want to get deeper insights, you need to have normalized data that allows analytics or machine interaction with it. Knowledge Graph Visualization and Exploration with metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

AUGUST 10, 2023

Perhaps another good example, if you’ve ever asked about drug interactions on WebMD, you likely got an ad for a related product. This is possible because of knowledge graphs – powerful and dynamic databases that enable cross-system connections, semantic interoperability, and relationship support.

Technology 52

Technology Knowledge Discovery Interactive Enterprise 52

Ontotext

AUGUST 22, 2023

Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. Semantically integrated data makes metadata meaningful, allowing for better interpretation, improved search, and enhanced knowledge-discovery processes.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

DECEMBER 1, 2023

Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata. She also shared the architecture behind the vision of building useful semantic search, valuable insights platform, and powerful knowledge discovery environment.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Domino Data Lab

DECEMBER 4, 2020

PharmaceUtical Modeling And Simulation (or PUMAS) is a suite of tools to perform quantitative analytics for pharmaceutical drug development [2]. The framework can facilitate a wide range of analytics task, including but not limited to: Non-compartmental Analysis. Specification of Nonlinear Mixed Effects (NLME) Models.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Graph solutions have gained momentum due to their wide-ranging applications across multiple industries.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

FEBRUARY 21, 2024

This dramatically simplifies the interaction with complex databases and analytics systems. The post Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies appeared first on Ontotext. Or you can take things into your hands directly.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Ontotext

AUGUST 21, 2024

As a result, contextualized information and graph technologies are gaining in popularity among analysts and businesses due to their ability to positively affect knowledge discovery and decision-making processes. The goal should be to create value without really caring what is being used at the backend.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52