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

AWS Big Data

SEPTEMBER 26, 2024

This post shows how to integrate Amazon Bedrock with the AWS Serverless Data Analytics Pipeline architecture using Amazon EventBridge , AWS Step Functions , and AWS Lambda to automate a wide range of data enrichment tasks in a cost-effective and scalable manner. max_tokens_to_sample – The maximum number of tokens to generate before stopping.

Data Lake 114

Data Lake Cost-Benefit Unstructured Data Modeling 114

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

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

FEBRUARY 21, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. A great advantage of this approach is that we benefit from the visibility of what snippets were included in the prompt, so we are aware of the source of the generated answer.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. As a hub for data, metadata, and content, they provide a unified, consistent, and unambiguous view of data scattered across different systems.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

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. Breakthrough progress comes from having dedicated resources for the design, construction, and support of the knowledge graph.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52