Deploying Machine Learning and Analytics in ITOps Processes

Friday, 26th April 2019 Posted 6 years ago in by Phil Alsop

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.

AI - is it time for a rethink?

Claire Keelan, UK MD at Onnec, is warning that the UK will fall short of its AI ambitions and data...

AI - time for a rethink?

Claire Keelan, UK MD at Onnec, is warning that the UK will fall short of its AI ambitions and data...

Observability investments increase

Joshua Clay, Senior Director Solutions Engineering at Dynatrace, discusses the findings of the...

Work AI Institute delivering real-world lessons for successful AI adoption

Work AI leader Glean has launched the Work AI Institute, a first-of-its-kind research initiative -...

Survey reveals AI readiness gap

Nicolas Leszczynski, Principal Solutions Engineer at Riverbed Technology, discusses the findings of...

AI pacesetters likely to increase their business advantage in the near future

Rob Lay, Cisco, discusses the results from the third annual Cisco AI Readiness Index. A small but...

AI - the solution to AI data centre expansion

Jackson Vo, President of Gridmatic Retail, discusses the pressures on Texas as a rapidly developing...

AI - why inferencing matters as much as LLMs

David Hurtado, Managing Director of Quetta Data Centers, discusses the impact of AI on the data...

© 2026 - Angel Business Communications Limited

Made with by Angels