"When a problem occurs, the first question that usually gets asked is, 'Where is the log of that happening?' Back in the before times, you'd have to pore over the log, line by line, searching for exactly what happened for clues into the source of the problem. But now? Give the log, however large, to an AI agent, and those answers appear in a matter of minutes."
"Producing and owning the data beats being able to interpret the data. Tools that produce the data can lean into the AI revolution. Tools that merely read and display data from a different source-say, an existing repository-will have a much harder time surviving alongside AI agents."
AI provides substantial value in log examination by rapidly analyzing logs to identify problems. Previously, examining logs required manual effort, but AI can process large logs in minutes. Tools like Datadog focus on data production and can easily integrate AI to enhance their capabilities. The future will see AI agents autonomously diagnosing and fixing issues without human intervention. Tools that generate data will thrive in the AI landscape, while those that only interpret existing data may struggle to compete.
Read at InfoWorld
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