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 ...

Forrester observes that it’s best to use the sensors in microsegmentation platforms to collect network traffic in monitoring mode, integrating the collected data in a configuration management ...

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

Here are a few other best practices organizations should consider when developing a data classification policy: Conduct a data risk assessment: A data risk assessment can help define company policies, ...

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, ...

AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

The Data Science Lab. Binary Classification Using PyTorch, Part 1: New Best Practices. Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates ...

Use this list of best practices for establishing and maintaining data governance within your organization. The volume of data that the world produces has risen exponentially in recent years. In ...

Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy ...

Data security incidents are most likely only the tip of the iceberg. Data-related risks usually span three buckets: risks to the data, i.e., information leakage, risks with the data, i.e., information ...