Microsoft-OpenAI Partnership is Everything About GPTs for No-Code DevOps
Generative Pre-trained Transformer or GPT DevOps has emerged as a disruptive force in the IT industry. Partnerships are key to building new AI models for...
Category : AIOps
AIOps is an acronym for Artificial Intelligence Operations. Gartner introduced the term ‘AIOps” in 2016 to distinguish machine learning algorithms specifically used in IT analytics and Operations management.Â
AIOps involves innovative AI ML applications such as NLP and deep learning, deployed to revolutionize IT service management and operational workflows. AIOps teams achieve several key objectives in IT by applying big data, analytics, and machine learning.
First, it aggregates and processes gigantic volumes of data from various IT infrastructure components, application demands, performance-monitoring tools, and service ticketing systems. Second, it identifies significant events and patterns within this data—for instance, application performance and availability within this noise. Third, AIOps execute fast troubleshooting and recommend swift action against the remedy to IT and DevOps teams, sometimes autonomously resolving problems without human intervention.Â
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