Remove Knowledge Discovery Remove Metadata Remove Strategy
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

What attributes of your organization’s strategies can you attribute to successful outcomes? Seriously now, what do these word games have to do with content strategy? This is accomplished through tags, annotations, and metadata (TAM). TAM management, like content management, begins with business strategy.

Strategy 267
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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

However, Data Fabric is not an application or software package but a set of design principles and strategies to deal with the very real and concrete truth that centralized data storage and control is gone. Knowledge Graphs are the Warp and Weft of a Data Fabric. This means having the ability to define and relate all types of metadata.

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

Ontotext

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”.

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Enrich your serverless data lake with Amazon Bedrock

AWS Big Data

Results can vary depending on the large language model (LLM) and prompt strategies selected. This solution empowers organizations to unlock their data assets’ potential across industries like research, legal, healthcare, enterprise knowledge management, customer experience, and marketing. Run sam delete from CloudShell.

Data Lake 100
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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. million users. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions.

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

Ontotext

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.

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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. This includes defining the underlying drivers (i.e.,