Machine Learning and Big Data Analytics are changing the way enterprises manage their IT operations by helping to automatically find hidden insights and data relationships faster. But by itself, machine learning is only an enabler, technology needs to be trained and tuned using domain specific expertise – helping to “augment” existing processes on the path towards leveraging artificial intelligence for IT operations (AIOps). Discover a pragmatic approach to predict problems sooner, identify the cause faster and automate corrective action based on learned behavior. Learn how to reduce RCA (Root Cause Analysis) from hours to minutes by quickly visualizing infrastructure using topology relationships. Hear real-world case studies on how AIOps is helping leading organization become more proactive, spend less time fighting fires, and more efficiently manage day-to-day operations across Hybrid IT.
Presented by:
Jyotsna Chatradhi
Engineering Team Lead / Staff Software Engineer
Broadcom
For existing members sign in here.
In his talk on "Impact of Sentiment Analysis on Improving Fake News Detection," Sanjaikanth E. Vadakkethil Somanathan Pillai addresses a critical issue exacerbated...
Find out moreSoftware for Humanity is a thought-provoking and immersive event that brings together software engineers, developers,...
Find out moreWhat is the traditional approach to performance monitoring on the Mainframe? Industry professionals know that...
Find out more