SAN FRANCISCO AND .conf2017, WASHINGTON – September 26, 2017 – Splunk Inc. (NASDAQ: SPLK), first in delivering “aha” moments from machine data, today announced expanded machine learning capabilities across its product portfolio with the release of Splunk® Enterprise 7.0, Splunk IT Service Intelligence (ITSI) 3.0, Splunk User Behavior Analytics (UBA) 4.0 and updates to Splunk Cloud. Splunk also introduced an updated suite of solutions that apply analytics and machine learning to fraud and cloud monitoring use cases. The announcements were made at .conf2017: the 8th Annual Splunk Conference. Watch today’s .conf2017 keynote live at https://conf.splunk.com beginning at 9 a.m. ET.
“Machine learning is critical to customer success and to the evolution of Splunk. Our seamlessly integrated capabilities open up machine learning to everyone, enabling our customers to better predict future outcomes and more effectively analyze their data,” said Richard Campione, chief product officer, Splunk. “Data is a strategic advantage and organizations are looking for the fastest, most efficient way to turn data into answers. With machine learning and metrics advancements that anyone can use, Splunk Enterprise 7.0 and Splunk Cloud powerfully deliver mission-critical answers faster and easier than ever before.”
Splunk Enterprise 7.0 and Splunk Cloud help customers better monitor, investigate and gain intelligence with their data, while delivering massive improvement in performance and scale. Support for metrics accelerates monitoring and alerting by at least 20x, and optimizations to core search technology deliver 3x speed improvement. With these enhancements, customers can use the Splunk platform to predict future IT, security and business outcomes through integrated machine learning techniques backed by powerful, extensible algorithms. These machine learning advances enable users to collect, prepare, transform, explore, visualize and publish data insights.
“Artificial Intelligence (AI) and advanced machine learning are much-talked-about emerging technologies that could revolutionize businesses and even entire industries,” according to Gartner. “They have the ability to drastically reduce labor costs, generate new and unexpected insights, discover new patterns, and create predictive models from raw data.”1
“Staples uses Splunk Enterprise for real-time analysis of critical business transitions – from order management, to invoicing, to warehousing – to ultimately enhance our customer experience and stay ahead of online competitors,” said Faisal Masud, chief technology officer, Staples. “Splunk analytics and metrics are helping us optimize every aspect of what we do, including quickly identifying and correcting irregular transactions so customers receive the best possible service. The Splunk Enterprise platform is a critical piece of our business operations foundation.”
Splunk also announced new, advanced machine learning capabilities for its existing premium-packaged solutions, including:
With increased demand for premium-packaged solutions, Splunk is also announcing new and updated solutions to tackle specific customer security needs in security and IT operations:
Splunk will also be previewing two new future technologies at .conf2017:
Splunk Enterprise 7.0 is available today, with Splunk ITSI 3.0 and UBA 4.0 available next month. The new version of Splunk Cloud will be available by January 2018. Learn more about Splunk Enterprise on the Splunk website.
1Gartner, Top 10 Strategic Technology Trends for 2017: Artificial Intelligence and Advanced Machine Learning, Mike J. Walker, Alexander Linden, David W. Cearley, March 15, 2017.
Splunk Inc. (NASDAQ: SPLK) turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges. Join millions of passionate users and discover your “aha” moment with Splunk today: http://www.splunk.com.
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