Remove Cost-Benefit Remove Document Remove Knowledge Discovery
article thumbnail

Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. End-users often struggle to find relevant information buried within extensive documents housed in data lakes, leading to inefficiencies and missed opportunities.

article thumbnail

Knowledge Graphs 101: The Story (and Benefits) Behind the Hype

Ontotext

With the help of natural language processing (NLP), text documents can also be integrated with knowledge graphs. Given that many researchers say that between 75-85% of an organization’s knowledge is locked in static documents, tremendous value and wisdom are being missed. Today’s data ecosystems are also global.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? For some time, the manufacturing industry has been benefiting significantly from knowledge graph technology. standards modeled in a knowledge graph! But the benefits of knowledge graphs don’t stop there.

article thumbnail

Three’s Company Too: Metadata, Data and Text Analysis

Ontotext

Separate documents called schemas let you describe the structure and restrictions of the data being described. Separating the definitions of the metadata from the data had the benefit of simplifying validation and introducing flexibility. More and more content such as documents, videos, sound was natively digital. Better search.

article thumbnail

Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

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.

article thumbnail

Accelerating model velocity through Snowflake Java UDF integration

Domino Data Lab

If you are not familiar with the standard JAR file structure, you can read the Packaging Programs in JAR Files tutorial in the official Java documentation. This brings extra benefits like security, versioning, and portability, but more importantly, archives allow you to package additional files alongside your classes.

article thumbnail

Enhancing Knowledge Discovery: Implementing Retrieval Augmented Generation with Ontotext Technologies

Ontotext

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. So we can easily integrate the information from both textual documents and structured RDF entities into an LLM-driven application.