But when the log-data patterns cannot be precisely defined in advance, unsupervised and reinforcement learning may be more appropriate. Those are the machine-learning-powered, log-data-analysis ...

Log data analysis helps organizations detect and remediate security threats, and meet regulatory requirements. Read more on how Wazuh aggregates and processes logs in real-time from monitored assets.

<p>The &ldquo;People, Process, Technology&rdquo; framework has effectively guided many initiatives and projects over the years and produced valuable data for reports and business metrics.&nbsp; Now, ...

Agencies should establish consistent data formats and terminologies that can easily be shared and understood across different departments. Consistency can make cross-data aggregation and sharing ...

Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: improvement ...

The Army is achieving this aim through its PC21 Data Collection and Analysis Team (DC&A), which is responsible for collecting, harvesting and condensing data related to the experiment, ...

Similarly, our analysis of New York City’s jail system during COVID-19 revealed how oversimplified data categories can mask critical inequities. The city’s public incarceration data uses just three ...

Moving from spreadsheets to automated data collection and processing is far from easy, but it could revolutionize drug development. It’s time for the biopharma industry to embrace end-to-end ...

Here are 10 best practices for data collection, integration and analysis: Guard customers’ privacy. Consumers are nervous about how their data may be misused.