In the past couple of years, IT operations have gotten increasingly difficult. In the race for digital transformation, organizations have had to change their IT operation strategies completely. Organizations have started shifting from traditional, on-site systems to cloud migration and hybrid environments. This has brought about a large influx of data that is impossible to manage using traditional methods.
Incident management has also gotten a lot harder for organizations. Troubleshooting and resolving faults through traditional methods no longer produce efficient results. IT teams cannot keep up with the many alerts and issues and resolve them in time. This eventually affects the user and customer experience negatively. The solution? AIOps.
Artificial intelligence for IT operations, or AIOps, is defined by Gartner as using big data and machine learning to automate IT operations processes. AIOps helps organizations manage large volumes of data and resolve critical issues faster and more efficiently. Organizations can certainly benefit from adopting AIOps for their IT operations.
However, there is a lot more to AIOps that organizations need to be aware of before adoption. In our new podcast, AIOps in the ITOM space, we’ll be talking about AIOps in detail, including how it works, its various challenges and benefits, and its future in the ITOM space.
Here’s an overview of what the podcast will cover:
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What AIOps is and how it works
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AIOps features useful to ITOM
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Why IT organizations need an AIOps platform
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Real-world use cases of AIOps
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Common challenges organizations face with AIOps adoption
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The future of AIOps in the ITOM space
Subscribe now to learn how AIOps can change ITOM for the better.
