Now that virtualization is a must-have across all modern IT shops, data center operations require comprehensive, real-time insights in order to manage these high-performance production environments. First-generation operational analytics tools fall short. They are based on static or some form of dynamic thresholds derived from trending and averaging analytical approaches. But in today’s dynamic, high-velocity environments, false positives are far too common and important information is lost in the noise. Next generation analytic tools should leverage self-learning models powered by machine learning in order to deliver personalized, faster, more accurate operational insights. While some emerging tools are leveraging self-learning models to identify the anomalies in the individual object behaviors based on reported statistics. However capturing the anomalies alone of individual metrics is not sufficient enough for two major reasons: • First, it does not capture the interplay between the data and therefore learn those behaviors (such as IOPS, latencies, CPU). • Second, it does not provide the actionable insight but rather identifies some anomaly that may or may not require attention. Learn now next generation approach is addressing this gap using machine learning principals that incorporate the notion the topology and the interplay between the data to to derive root causes in order to identify actual issues and provide meaningful recommendations. Join industry analyst Jason Bloomberg, president of Intellyx, who will discuss the challenges facing IT operations today and why advanced machine learning, graph technology, and topological data analysis are now critical elements needed by today’s IT operations analytics technology. Next, Jim Shocrylas, Product Manager, SIOS Technology will explain how next-generation machine learning is enabling IT analytics tools to help IT managers resolve performance issues, ensure resource optimization, and meet service level agreements for mission critical applications in VMware environments. He will then walk through common use cases for the practical application of this advanced technology.