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Data Classification: Overview, Types, and Examples

Pickl AI

Summary: Feeling overwhelmed by your data? Data classification is the key to organization and security. This blog explores what data classification is, its benefits, and different approaches to categorize your information. Discover how to protect sensitive data, ensure compliance, and streamline data management.

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Data Classification Can Make or Break Data Governance

Dataversity

The news these days is full of massive fines levied against companies that failed to protect their customer data. An effective data classification approach is one of the best ways to ensure that companies can identify and protect their most valuable data. Our experience continues to […].

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The Role of IT in Data Governance

The Data Administration Newsletter

Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel. IT also enforces data governance policies and procedures, such as data classification and access […]

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Data Classification: Does Python still have a need for class without dataclass?

Hacker News

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The Art of Lean Governance: Walking the Data Factory

The Data Administration Newsletter

The concept of “walking the data factory” drew a great deal of interest during our recent DGPO webinar on data classification as part of a holistic governance program. We discussed ways to connect the stove-piped worlds of data governance and information governance under a common governance classification.

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Discover the universe of Gamma AI for better protection

Dataconomy

The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft. The cloud-based DLP solution from Gamma AI uses cutting-edge deep learning for contextual perception to achieve a data classification accuracy of 99.5%.

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It’s time to shelve unused data

Dataconomy

Artificial intelligence (AI) can be used to automate and optimize the data archiving process. There are several ways to use AI for data archiving. This process can help organizations identify which data should be archived and how it should be categorized, making it easier to search, retrieve, and manage the data.