Remove tags text-classification
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How BMO improved data security with Amazon Redshift and AWS Lake Formation

AWS Big Data

Data with this secured data classification is stored in encrypted form both in the data warehouse and in their data lake. Only users with required permissions are allowed to access data in clear text. It provides fine-grained access control, tagging ( tag-based access control (TBAC) ), and integration across analytical services.

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Metadata Management and Data Governance with Cloudera SDX

Cloudera

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. Add/update/remove classifications of the entities with the previous specifications.

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Metadata Management & Data Governance with Cloudera SDX

Cloudera

This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. Add/update/remove classifications of the entities with the previous specifications.

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Ontotext Marketing Gets a Boost from Knowledge Graph Powered LLMs

Ontotext

Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. We achieve this by quality tagging during content publishing via graph-based entity linking. This is graph-based tagging, so the mentions are not just keywords.

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Leveraging AI to discover and classify your data in a complex and dynamic landscape

Laminar Security

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks. Continuous monitoring and securing of data ensure that no shadow data is left exposed or unattended.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results. How does text mining work?

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Demystifying Multimodal LLMs

Dataiku

M-LLMs seamlessly integrate multimodal information, enabling them to comprehend the world by processing diverse forms of data, including text, images, audio, and so on. In this blog post, we delve into the workings of M-LLMs, unraveling the intricacies of their architecture, with a particular focus on text and vision integration.