Ontotext

MARCH 13, 2024

Motivated by our marketing team’s aim to simplify content discovery on our website, we initiated the Ontotext Knowledge Graph (OTKG) project. We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. What is OTKG?

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

AUGUST 15, 2019

This becomes possible thanks to metadata enrichment, integrating and linking data from various data sources and, ultimately, dumping, structuring and querying that data with the help of a semantic graph database. One of the best success stories as a result of our training is Culture Creates.

Knowledge Discovery 70

Knowledge Discovery Technology Metadata Interactive 70

AWS Big Data

SEPTEMBER 26, 2024

This solution empowers organizations to unlock their data assets’ potential across industries like research, legal, healthcare, enterprise knowledge management, customer experience, and marketing. Explore the AWS Serverless Data Analytics Pipeline reference architecture and take advantage of the power of Amazon Bedrock.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

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

This becomes possible thanks to metadata enrichment, integrating and linking data from various data sources and, ultimately, dumping, structuring and querying that data with the help of a semantic graph database. One of the best success stories as a result of our training is Culture Creates.

Knowledge Discovery 40

Knowledge Discovery Technology Metadata Interactive 40