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

Ontotext

This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? standards modeled in a knowledge graph!

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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

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 101
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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

He further explained what data fabric and data mesh were, how these two related to knowledge graphs, and how they provided solutions that helped enterprises fight infobesity. Lance Paine, founder of Semantic Partners, took the ball from Sumit to talk about “why you’re not ready for knowledge graphs”.

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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.

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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. This dramatically simplifies the interaction with complex databases and analytics systems. The query uses the “ask” SPARQL GTP function to send our prompt to ChatGPT.

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Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success

Ontotext

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.