Prelert Introduces Push Button Machine Learning in Anomaly Detective 3.1
QuickMode Feature Helps Splunk Users Manage Security and Performance Issues Even Faster by Automatically Identifying Anomalous Behavior at the Push of a Button
FRAMINGHAM, Mass.--(BUSINESS WIRE)--Prelert, the first vendor to package data science into downloadable applications for everyday users, today announced the release of Anomaly Detective 3.1, which introduces the ability to deploy powerful machine learning tools at the push of a button.
“With the enormous growth in the volumes of Big Data being collected and aggregated, the demand for data science far exceeds the number of data scientists available, which is why the latest version of Anomaly Detective is so exciting”
Anomaly Detective is a deeply integrated app for Splunk Enterprise that helps identify and resolve performance and security issues, and their causes, as they develop. It provides a solution to one of the major problems inherent in working with Big Data – gaining valuable insights from otherwise overwhelming volumes of data in real-time.
Using unsupervised machine learning that eliminates the need for time consuming and costly data science projects, Anomaly Detective isolates causal data that drives performance and security issues, and identifies and scores anomalies by severity and impact. With the release of Anomaly Detective 3.1 and its QuickMode feature, users simply enter a search string, push a button, and let machine learning do the rest. The software automatically learns patterns in the data and applies the best statistical methods to accurately identify anomalies. With the push of another button, users can choose to have this anomaly search run continuously, enabling proactive machine learning anomaly detection to watch their environment in real-time.
Use of Big Data is growing across industries and geographies, and according to a survey published in September 2013 by Gartner, 64 percent of organizations have invested or plan to invest in Big Data. However, the survey found that two of the biggest challenges these organizations face are determining how to get value from the data and obtaining the skills and capabilities needed.
“With the enormous growth in the volumes of Big Data being collected and aggregated, the demand for data science far exceeds the number of data scientists available, which is why the latest version of Anomaly Detective is so exciting,” said Mark Jaffe, Prelert’s CEO. “Prelert’s core focus is democratizing the benefits of artificial intelligence and machine learning and we’ve taken another step in that direction with the ability to implement the technology at the push of a button.”
Splunk users who wish to download Anomaly Detective 3.1 and begin using it within minutes can do so at: http://www.prelert.com/products/anomaly-detective.html
Mining answers from the volume of data available today to drive business decisions requires advanced analytics approaches that, until now, have required the expertise of data scientists. Prelert is the first vendor to provide this data science packaged to provide a time to value in minutes and enable IT and business professionals to make better decisions. Prelert: Data science for everyday decisions. For more information, visit www.prelert.com.