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4 reasons why AIOps is the future of IT operations TechBeacon

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IT organizations that identify and understand patterns in vast, diverse sets of data are best equipped to find, fix, and prevent performance problems. But when digital transformation outpaces IT performance management, hybrid and multi-cloud infrastructure creates complexity--and that comes with a hefty price tag. That's where artificial intelligence in IT operations (AIOps) comes into the picture. Gartner describes AIOps platforms as software systems that combine big data and artificial intelligence (AI) or machine-learning functionality "to enhance and partially replace all primary IT operations functions, including availability and performance monitoring, event correlation and analysis, and IT service management, and automation." AIOps is the application of machine learning and data science to IT operations to make them more efficient.


Gartner Market Guide for AIOps Platforms – BMC Blogs

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Like Gartner, who report a 25% increase in end user inquiries on AIOps, we at BMC Software are also experiencing increased interest from customers who are challenged by increasing complexity and volumes of data which are beyond human scale to manage. The combination of big data, machine learning, analytics and automation is increasingly being recognized amongst IT leaders as having the potential to transform monitoring and event management and drive significant benefits across IT Operations processes. So, what are Gartner saying are the major changes in this updated 2019 Market Guide for AIOps?


Why AIOps is the Next Big Thing in IT Operations?

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AIOps platform market size is growing exponentially. According to MarketsandMarkets latest survey, the AIOps market size will reach USD 11.02 billion by 2023 and USD 237 billion by 2025. But, what is AIOps, what it is designed to do, how it is developing, and why AIOps is the next big thing in IT operations? If you are also looking for answers for such questions, then your search ends here. AIOps is the application of Artificial Intelligence (AI) to IT operations.


Advancing Azure service quality with artificial intelligence: AIOps

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"In the era of big data, insights collected from cloud services running at the scale of Azure quickly exceed the attention span of humans. It's critical to identify the right steps to maintain the highest possible quality of service based on the large volume of data collected. In applying this to Azure, we envision infusing AI into our cloud platform and DevOps process, becoming AIOps, to enable the Azure platform to become more self-adaptive, resilient, and efficient. AIOps will also support our engineers to take the right actions more effectively and in a timely manner to continue improving service quality and delighting our customers and partners. This post continues our Advancing Reliability series highlighting initiatives underway to keep improving the reliability of the Azure platform. The post that follows was written by Jian Zhang, our Program Manager overseeing these efforts, as she shares our vision for AIOps, and highlights areas of this AI infusion that are already a reality as part of our end-to-end cloud service management."--Mark


Advancing Azure Service Quality With Artificial Intelligence: AIOps - Liwaiwai

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"In the era of big data, insights collected from cloud services running at the scale of Azure quickly exceed the attention span of humans. It's critical to identify the right steps to maintain the highest possible quality of service based on the large volume of data collected. In applying this to Azure, we envision infusing AI into our cloud platform and DevOps process, becoming AIOps, to enable the Azure platform to become more self-adaptive, resilient, and efficient. AIOps will also support our engineers to take the right actions more effectively and in a timely manner to continue improving service quality and delighting our customers and partners. This post continues our Advancing Reliability series highlighting initiatives underway to keep improving the reliability of the Azure platform. The post that follows was written by Jian Zhang, our Program Manager overseeing these efforts, as she shares our vision for AIOps, and highlights areas of this AI infusion that are already a reality as part of our end-to-end cloud service management."--Mark