Data-classification best practices By Bill Reed Corporate efforts to secure data, comply with regulations, tier storage and meet new legal-discovery demands depend on having a good data ...

3 best practices for integrating data classification policy with information governance Here are three ways to efficiently adopt a new data classification policy in a way that complements an ...

If you decide to integrate data engineering best practices, you can help your team move faster while potentially reducing costs and increasing productivity.

Learn how to optimize your analytics reports with these 10 best practices, including data integrity, visualization, and storytelling.

Data classification is also a critical part of data security. Statistics show that nearly 62% of U.S. firms suffered a data breach last year and over 80% contained a human element, including incidents ...

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...

In November last year, there were 95 disclosed data security incidents that resulted in 32 million breached records in Europe alone. Globally, there is a far worse picture. High-profile organizations ...

Use this list of best practices for establishing and maintaining data governance within your organization.

Much has been written about the importance of funding and developing digital data repositories, data classification tools such as computational ontologies, and software that would enable the ...

The Data Science Lab Binary Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions Dr. James McCaffrey of Microsoft Research explains how to train a network, compute ...