Splunk integrates machine learning adding packaged and custom algorithms to core products

Real-time analytics software and cloud services company Splunk is adding machine learning capabilities to its four main software packages and services, while also rolling out a new user interface that, it claims, will make Splunk’s analytics tools easier to use for less technical and occasional users. The updates, announced at the company’s seventh .conf2016 user conference in Orlando, Florida today are being rolled into Splunk Enterprise 6.5, Splunk IT Service Intelligence (ITSI), Splunk Enterprise Security and Splunk User Behavior Analytics (UBA). All are available either as on-premise software packages or on a subscription-based model in the cloud. The company is incorporating a series of packaged algorithms to provide a number of new, automated functions, as well as the capabilities for users to build their own custom algorithms. The move is…


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