Remove Document Remove Knowledge Discovery Remove Reporting
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Advancing Automatic Knowledge Extraction with PubMiner AI

Ontotext

Using PubMiner AI as a blueprint enables any skilled data scientist with basic knowledge of semantic technologies (knowledge graphs, RDF, SPARQL, ontologies, and semantic models) to build a targeted workflow that can extract intricate relations between biomedical entities from scientific literature.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. Labeling, indexing, ease of discovery, and ease of access are essential if end-users are to find and benefit from the collection. Do not forget the negations.

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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.

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Understanding Social And Collaborative Business Intelligence

datapine

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. One of the most imperative features of social BI is its ability to create self-served and user-generated analysis, coupled with the application of business user knowledge. What is Social Business Intelligence?

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

Ontotext

Providing insights into the performance of different systems and processes, knowledge graphs can significantly improve asset management, equipment maintenance, factory floor management & optimization, industrial safety and a lot more. computer manufacturers are relying on knowledge graphs (and GraphDB) in their operations.

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

Ontotext

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. However, this information is typically stored in disparate locations, often hidden within departmental documents or applications.

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Performing Non-Compartmental Analysis with Julia and Pumas AI

Domino Data Lab

The drug under investigation is an anti-inflammatory agent, and the study looks at self-reported pain relief and plasma concentration over time. The study features 4 arms (including the placebo arm), using doses of 5mg, 20mg, and 80mg, administered at time 0, and tracks the self-reported pain relief and drug concentration at 0, 0.5,

Metrics 59