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The Gold Standard – The Key to Information Extraction and Data Quality Control

Ontotext

Originally, the Gold Standard was a monetary system that required countries to fix the value of their currencies to a certain amount of gold, aiming to replace the unreliable human control with a fixed measurement that could be used by everyone. Simply put, we need to be able to measure and evaluate our results against clearly set criteria.

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How to Build a Meshy Data Fabric (With a Data Catalog!)

Alation

This white paper makes this information actionable with a methodology, so you can learn how to implement a meshy fabric with your data catalog. For the full story, download the white paper here ! Tip 2: Let the data catalog do the heavy lifting. What data is useful? But how do you get started?

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

You should always ensure that you evaluate the measures that each vendor has instituted to protect the data. This allows you to devise measures that’ll protect your organization from such attacks. This allows you to devise measures that’ll protect your organization from such attacks. Fraud and Money Laundering Prevention.

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Data Observability and Monitoring with DataOps

DataKitchen

An automated process that catches errors early in the process gives the data team the maximum available time to resolve the problem – patch the data, contact data suppliers, and rerun processing steps. The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors.

Testing 214
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What Is a Metadata Management Tool?

Octopai

Whenever you save the file, you create metadata about the current status of this data asset: The metadata displayed here includes data asset type, size of the asset, and time of the last change in the asset. Metadata stewardship tools are important for: Data governance Regulatory compliance Evaluating and improving data quality.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

For example, consider identifying a single, measurable use case for AI that gets you started with a proof of concept (PoC) that could be a stepping stone to other initiatives. To learn more, read our white paper, “Moving AI solutions from concept to production.”. Focus on a specific business problem to be solved.

Analytics 111
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Data Mesh vs. Data Fabric: A Love Story

Alation

In fact, data intelligence technologies support building a data fabric and realizing a data mesh. Let’s turn our attention now to data mesh. Responsibilities are distributed to the people who are closest to the data. New to data catalogs? Stay tuned for this blog early in 2022!