Remove AI Remove Data Classification Remove Data Governance
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What is Data Classification? Guidelines, Types, & Examples

Alation

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification.

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The Role of the Data Catalog in Data Security

Alation

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

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Understanding Your Data: The Key to Trust and Business Success

Precisely

The High Cost of Not Knowing Your Data When you dont have a clear understanding of your data landscape what data exists, how trustworthy it is, etc. it opens your organization up to several risks: Unreliable analytics and AI (artificial intelligence) Poor data quality results in flawed insights. The result?

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Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

IBM Data Science in Practice

Photo by Tim van der Kuip on Unsplash In the era of digital transformation, enterprises are increasingly relying on the power of artificial intelligence (AI) to unlock valuable insights from their vast repositories of data. Within this landscape, Cloud Pak for Data (CP4D) emerges as a pivotal platform.

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What Is Data Intelligence?

Alation

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses. Data is exploding, both in volume and in variety.

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Living in a data sovereign world

IBM Journey to AI blog

Establish data governance frameworks, policies, procedures and tools by organizations to bring in required control and audit. Regular audits ensure ongoing adherence to these guidelines, so make it part of the governance framework. Data sovereignty procedures should be regularly monitored to identify areas for improvement.