Deploying Machine Learning and Analytics in ITOps Processes

  • 5 years ago Posted in
Learn how ITOps teams can apply machine learning and advanced analytics to manage the ever increasing volume of operational data across complex, hybrid environments. AIOps use cases including event noise reduction predictive alerting and probable cause analysis enable ITOps to optimize the performance and health of infrastructure and applications while supporting business innovation.
Kirsty Biddiscombe, AI, ML and Data Analytics lead for NetApp EMEA, discusses the challenges and...
Iju Raj, Executive Vice President R&D and Simon Bennett, Director, Research and Innovation, both at...
Tom Fairbairn, Distinguished Engineer at Solace, explains how Absolics is using the Solace PubSub+...
Dr Clare Walsh, Director of Education at the Institute of Analytics (IoA), and one of the of the...
Steve Young, UK SVP and MD, Dell Technologies, explains how can businesses can navigate the high...
Ivana Bartoletti, Global Chief Privacy and AI Governance Officer at Wipro, also a Council of Europe...
Dennis Xu, VP Analyst, KI Leader, Gartner, discusses the coming together of AI and cybersecurity...
Jürgen Hatheier, International Chief Technology Officer, Ciena, discusses the findings of the...