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Metadata Management Best Practices: How to Plan Your Metadata Management Program

Octopai

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data. Hold on tight!

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Documenting and Managing Governance, Risk and Compliance with Business Process

erwin

Shockingly, a lot of organizations, even today, manage this through, either homemade tools or documents, checklists, Excel files, custom-made databases and so on and so forth. Traditionally, these are manually documented, monitored and managed. Processes produce, process and consume data –information captured in the metadata layer.

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Data governance in the age of generative AI

AWS Big Data

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

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Scaling Understanding with the Help of Feedback Loops, Knowledge Graphs and NLP

Ontotext

We mainly talked about the company’s Metadata Studio and the types of features it has that give users the options I’ve listed above. Of course, unstructured enterprise data consists primarily of content in document form, and if it’s not discoverable or reusable, it’s useless. Ivo’s been at Ontotext for over 14 years.

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Integrating Data Governance and Enterprise Architecture

erwin

It documents your data assets from end to end for business understanding and clear data lineage with traceability. To better understand and align data governance and enterprise architecture, let’s look at data at rest and data in motion and why they both have to be documented. Automating Data Governance and Enterprise Architecture.

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Top 5 Data Catalog Benefits: Understanding Your Organization’s Data Lineage

erwin

With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects. At each stage, the discovered pieces of lineage are documented.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. They are used in everything from robotics to tools that reason and interact with humans. Capture and document model metadata for report generation. Track models and drive transparent processes.

Risk 73