SAN MATEO, CA–(Marketwired – Dec 3, 2015) – SIOS Technology Corp. (www.us.sios.com), the industry’s leading provider of high availability and IT analytics software, today announced it will participate in a live webinar with Jason Bloomberg, president of industry analyst firm Intellyx, who will discuss the challenges facing enterprises running important applications in VMware environments. He will discuss the reasons that advanced machine learning approaches, including graph technology, and topological data analysis are now critical elements needed by today’s IT operations analytics technology.
Titled, “Unleashing the Power of Machine Learning: Faster, More Accurate IT Operations Analytics,” this live webinar will be held on Thursday, December 10 at 10:00 AM PST / 1:00 PM EST. Please click here to register.
“Modern, virtualized operational environments require comprehensive, real-time insights to meet service level agreements and to eliminate wasted IT resources,” said Jason Bloomberg, president, Intellyx. “Enterprise IT professionals are turning to IT operations analytics tools that leverage machine learning driven self-learning models to deliver faster, more accurate insights across infrastructure silos.”
In this webinar, Jason will review the next-generation approaches that are required to enable IT to identify and correct problems, maintain mission-critical application performance, and apply IT resources more efficiently in VMware. He will compare the use of first-generation “threshold-based” IT operations analytics tools to new machine learning-based approaches that “learn” the normal and abnormal behaviors of interrelated objects in the data center using techniques such as graph technology, and topological data analysis. He will describe the ways these tools are enabling IT staff to identify and resolve anomalies faster and more accurately than ever before.
Read the entire article at http://www.marketwired.com/press-release/intellyx-sios-technology-host-webinar-on-advanced-machine-learning-based-it-operations-2079068.htm
