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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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Discover the universe of Gamma AI for better protection

Dataconomy

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS).

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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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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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How the UNDP Independent Evaluation Office is using AWS AI/ML services to enhance the use of evaluation to support progress toward the Sustainable Development Goals

AWS Machine Learning Blog

Data ingestion and extraction Evaluation reports are prepared and submitted by UNDP program units across the globe—there is no standard report layout template or format. Oscar has authored books and articles on development evaluation, including one on information and communication technology for evaluation.

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Ever wonder what makes machine learning effective?

Dataconomy

The goal of unsupervised learning is to identify structures in the data, such as clusters, dimensions, or anomalies, without prior knowledge of the expected output. This can be useful for discovering hidden patterns, identifying outliers, and reducing the complexity of high-dimensional data.

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5 Pain Points of Moving Data to the Cloud and Strategies for Success

Alation

Complex data management is on the rise. The Five Pain Points of Moving Data to the Cloud. She has written hundreds of articles on data mining and information technology. Dr. Halper attributes this increase of complex data management to the growing importance of analytics. Fern Halper, Ph.D.