Ontotext

AUGUST 16, 2019

But it has enriched us in terms of identifying key needs for those looking to build a simple prototype in order to demonstrate the power of semantic technology, linked data and knowledge graphs. Some of that journey has been recorded in a previous blog post. What This Training Is.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

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. Building a Knowledge Graph Application with metaphactory.

Visualization 52

Visualization Interactive Knowledge Discovery Dashboards 52

Ontotext

AUGUST 22, 2023

By establishing a layer on top of existing enterprise systems and data warehouses, semantic metadata unlocks incredible new ways to interact with information, forging new experiences out of exploration and discovery. Additionally, applying semantic metadata removes the vicious circle of drowning in data but thirsting for information.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 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

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

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. Conference on Knowledge Discovery and Data Mining, pp. This trust must be paramount when human lives are at stake.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Ontotext

FEBRUARY 21, 2024

This dramatically simplifies the interaction with complex databases and analytics systems. In this blog post, we dive into the capabilities of Ontotext’s semantic technology products and solutions that facilitate NLQ. Check out our NLQ with LangChain blog post for more ideas.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

The Unofficial Google Data Science Blog

JANUARY 14, 2016

In each case, users engage with the service at will and the service makes available a rich set of possible interactions. But the fact that a service could have millions of users and billions of interactions gives rise to both big data and methods which are effective with big data.

Experimentation 42

Experimentation Statistics Metrics Measurement 42

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