IBM introduces a new cloud service driven AI designed to help companies get better adhesion to their increasingly dirty networks.
It is increasingly difficult to manage, because networks containing data centers in place, private clouds, more public clouds and SAAS applications. The new IBM, called Network Intelligence, seeks to help this situation by providing a single reference point to solve problems faster.
In its core, the service uses AI agents that can analyze data, find out what could cause problems, and suggest ways to fix them. Top agents on pre -trained models that study network designs, telemetry, traffic flows, alarms and time series data to find out hidden problems and early signs of problems. Once they combine everything together, they can propose probable causes and recommend actions to help teams to respond.
The brains behind this system come from IBM Watsonx Technologies and Granite Time Series Granite Time Series, a set of compact AI models developed by IBM Research. The models are tuned specifically for network creation and trained into a huge amount of telemetry, alarms and flow data from different types of environment.
IBM says it gives them a deeper understanding of how networks behave compared to rules based systems, generic machine learning or large languages. The result, as the company says, is better to detect problems that usually fly under the radar and earlier warnings against the intervention.
The IBM playground is that network intelligence can help companies give up to respond to outages. The service is designed to reduce the alerts, facilitate the analysis of problems and capture rare or complicated problems that older monitoring tools may miss.
IBM offers various subscription plans and free levels for companies that want to try it in a limited production environment before they fully commit.
(Photo: Claudio Schwarz)
See also: IBM to offer Watsonx AI tools on Oracle Cloud Infrastructure Infrastructure
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