English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Artificial Intelligence for IT operations (AIOps) aims to combine the powerof AI with the big data generated by IT Operations processes, particularly incloud infrastructures, to provide actionable insights with the primary goal ofmaximizing availability. There are a wide variety of problems to address, andmultiple use-cases, where AI capabilities can be leveraged to enhanceoperational efficiency. Here we provide a review of the AIOps vision, trendschallenges and opportunities, specifically focusing on the underlying AItechniques. We discuss in depth the key types of data emitted by IT Operationsactivities, the scale and challenges in analyzing them, and where they can behelpful. We categorize the key AIOps tasks as - incident detection, failureprediction, root cause analysis and automated actions. We discuss the problemformulation for each task, and then present a taxonomy of techniques to solvethese problems. We also identify relatively under explored topics, especiallythose that could significantly benefit from advances in AI literature. We alsoprovide insights into the trends in this field, and what are the key investmentopportunities.

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges