CIO Influence

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.ย 

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 dataโ€”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.ย 

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Dataiku Announces Strategic Investment from Snowflake to Empower Businesses to Drive Value through Advanced Analytics in the Data Cloud

CIO Influence News Desk
Dataiku, one of the worldโ€™s leading AI and machine learning platforms, announced a new investment from Snowflake Ventures, the venture arm ofย Snowflake. Together, Dataiku and...
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Magic Software Introduces FactoryEye, a Dynamic Industry 4.0 Solution for North American Manufacturers

CIO Influence News Desk
FactoryEye’s plug and play IIoT platform enables mid-sized manufacturers to achieve digital transformation with real-time intelligence. Magic Software Enterprises Ltd,ย a global provider of end-to-endย integrationย platform solutions...
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Ivanti Transforms IT Service and Asset Management with Interactive Neurons that Reduce Ticket Volumes and Deliver Personalized Employee Experiences in the Everywhere Workplace

CIO Influence News Desk
Ivanti Neurons for ITSM leverages Interactive Neurons powered by AI/ML to recommend and self-heal issues in real-time for contextual, personalized employee experiences in the Everywhere...