Remove Enterprise Remove Metadata Remove Unstructured Data
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Unstructured data management and governance using AWS AI/ML and analytics services

AWS Big Data

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

We could further refine our opening statement to say that our business users are too often in a state of being data-rich, but insights-poor, and content-hungry. This is where we dispel an old “big data” notion (heard a decade ago) that was expressed like this: “we need our data to run at the speed of business.”

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data.

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Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

Although Amazon DataZone automates subscription fulfillment for structured data assetssuch as data stored in Amazon Simple Storage Service (Amazon S3), cataloged with the AWS Glue Data Catalog , or stored in Amazon Redshift many organizations also rely heavily on unstructured data. Enter a name for the asset.

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From charred scrolls to customer sentiment: How AI helps you monetize your unstructured data

CIO Business Intelligence

Now that AI can unravel the secrets inside a charred, brittle, ancient scroll buried under lava over 2,000 years ago, imagine what it can reveal in your unstructured data–and how that can reshape your work, thoughts, and actions. Unstructured data has been integral to human society for over 50,000 years.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

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The state of data quality in 2020

O'Reilly on Data

The building blocks of data governance are often lacking within organizations. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. The top-line good news is that people at all levels of the enterprise seem to be alert to the importance of data quality.