AIOps
What is AIOps?

AIOps, or artificial intelligence for IT operations, refers to use of artificial intelligence, such as machine learning (ML) and generative AI (GenAI), to automate the identification and resolution of common IT issues or improve operational efficiency.

Within the networking space, AIOps is used to address changing user and IoT requirements for today’s modern and complex campus, branch, and WFH networks. AIOps combines the automation of management tasks and the oversight of network experts to improve efficiency.

The visibility and automation provided by networking AIOps gives IT organizations the insights needed to speed up design/configuration tasks as well as predict, quickly respond to, or even prevent network outages. For example, AIOps insights can be used for endpoint profiling for security purposes and the visibility needed to ensure the proper performance of local and cloud applications.

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  • How does AIOps deliver insights in an enterprise network environment?
  • What are some networking AIOps use cases?
  • HPE and AIOps
How does AIOps deliver insights in an enterprise network environment?
AiOps diagram

How does AIOps deliver insights in an enterprise network environment?

AIOps uses telemetry collected from each network and client device to create baselines that automatically help identify issues, determine root causes, and deliver optimization guidance in real time.

AIOps can include the use of the following AI techniques:

  • Classification AI (including machine learning) – Algorithms with the ability to learn about and adapt to changes in the environment. These have the ability to change or create new algorithms to identify problems earlier and recommend effective solutions.
  • Generative AI (GenAI) – AI capable of generating text, images, video, or other data using generative models, often in response to prompts. Generative AI models, including large language models (LLMs) learn the patterns and structure of their input training data and then generate new data that has similar characteristics. An example of GenAI that uses LLMs is OpenAI’s ChatGPT.

Large network telemetry data lakes are often required to effectively train and tune AI models. 

Related topics

Artificial Intelligence

AI Networking

Data lakes