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September 28, 2016

Splunk ramps up machine learning capabilities

Company is focusing on the data that underpins digital transformation efforts.

By James Nunns

Splunk is placing a greater emphasis on machine learning with the latest versions of its enterprise offerings.

The software platform provider for real-time operational data, revealed new versions of Splunk Enterprise, IT Service Intelligence, Enterprise Security, and User Behaviour Analytics.

The offerings will be available on-premises or in the cloud and they’ll have machine learning integrated as a core capability.

The company says that with these capabilities integrated alongside packaged or custom algorithms companies will be able to operationalise machine data in use cases such as; focused investigation, intelligent alerting, predictive actions, and business optimisation.

Doug Merritt, President and CEO, Splunk said: “Digital transformation has changed the way that organizations work. The big secret is that all of the change is underpinned by machine data. Machine learning enables organizations to get deeper insights from their machine data and ultimately increases the opportunity our customers can gain from digital transformation.

“The enterprise machine data fabric is the foundation for managing and deriving insights from that data at scale – and only Splunk provides the end-to-end analytics platform and ecosystem to support it.”

Splunk Cloud and Splunk Enterprise 6.5, which is generally available now, is said to allow businesses to use machine learning with advanced analytics to create custom machine learning models for IT, security and business use cases.

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Features like GUI-based data filtering, enrichment, and aggregation will be available.

Features like GUI-based data filtering, enrichment, and aggregation will be available.


The company also believes that it will help to simplify data preparation and will expand data analysis to a wider range of users thanks to a new interface and table data views.

To sweeten the deal it is also promising lower on-premises TCO through tighter integration with Hadoop. Organisations will be able to roll historical data to Hadoop and use hybrid search to analyse all of the data in Splunk.

Similar advances have been made across the rest of its portfolio, for example, IT Service Intelligence is a machine learning powered monitoring solution that uses analytics to try and find root causes of problems.

Jason Stamper, data platforms and analytics analyst, 451 Research said: “This is making Splunk-based analytics available to an increasing variety of IT and business users. With a broad integration of machine learning, Splunk provides a comprehensive answer to one of the biggest challenges facing modern organizations: how to harness diverse, prevalent and increasingly profuse amounts of data to gain valuable business insights.”

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