Ontotext

AUGUST 15, 2019

You should also keep in mind that more and more reports estimate that until 2022 the annual growth of the graph database market will be 100%. In addition, according to Gartner’s report , knowledge graphs are “ideally suited to storing data extracted from the analysis of unstructured sources”.

Knowledge Discovery 70

Knowledge Discovery Technology Metadata Interactive 70

Ontotext

DECEMBER 1, 2023

The rise of knowledge graphs that power marketing and sales processes Call me biased, but I see tangible progress for knowledge graphs powering marketing and sales. He shared their approach to knowledge graph building and architecture. What opportunities does LLM technology create for data and business strategies?

Metadata 78

Metadata Sales Machine Learning Consulting 78

Data Science 101

OCTOBER 31, 2019

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Data mining can be effectively used in marketing to create customer segments based on their purchasing patterns that can be extracted from behavioral analysis. Common Applications.

Data mining 77

Data mining KDD Data Science Knowledge Discovery 77

Domino Data Lab

MAY 20, 2021

Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Machine learning for the detection of oil spills in satellite radar images. 30(2–3), 195–215. link] Ling, C. X., & Li, C. Quinlan, J. Programs for machine learning.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Ontotext

AUGUST 19, 2020

Content about ‘NASDAQ’, ‘FTSE’ and China’s ‘SSE’ would be understood to have a relationship to a broader concept of ‘stock market’ Taxonomies eventually became ontologies. Faster and easier knowledge discovery has obvious cost benefits and reduces duplication of effort.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

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. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

AUGUST 16, 2019

You should also keep in mind that more and more reports estimate that until 2022 the annual growth of the graph database market will be 100%. In addition, according to Gartner’s report , knowledge graphs are “ideally suited to storing data extracted from the analysis of unstructured sources”.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40

Ontotext

AUGUST 31, 2023

In fact, knowledge graphs evolved from ‘Linked Data’ and the ‘Semantic Web’, and new terminology could become more prominent again in the next five years. It boils down to three reasons: Evolving industry terminology: Even within the industry, there have been significant changes in naming.

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Ontotext

FEBRUARY 21, 2024

Like many organizations, we want to get the most of the content we produce – technical documentation about our products, capabilities, past and current projects, research publications, marketing content, presentations, and webinars. So we have built a dataset using schema.org to model and structure this content into a knowledge graph.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

“We have just emerged from a terrible recession called New Year's Day where there were very few market transactions,” joked Hal Varian, Google’s Chief Economist, recently. Doing so makes it easier to study the effects of an intervention, say, a new marketing campaign, on the sales of a product.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

CIO Business Intelligence

MARCH 26, 2025

Search and knowledge discovery technology is required for organizations to uncover, analyze, and utilize key data. Now, a new wave of AI generative AI (GenAI) is changing how forward-looking organizations approach search, knowledge management, and other forms of knowledge discovery. How did we get here?

Knowledge Discovery 84

Knowledge Discovery Cost-Benefit Enterprise Technology 84