While AI technologies have been developed to analyze structured data like text, video, and images, there is a significant gap in AI technologies designed to analyze noisy machine data such as system logs, application logs, and CPU telemetry, which holds critical patterns for improving observability, reliability, and automation in infrastructure and MLOps.
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AI for Machine Telemetry #355Added:
So, starting there, basically, I realized is that there's a lot of AI technologies are invented to analyze text data, like video data, or image data, but the very few technology were invented to actually analyze very noise noisy, like machine data, for example, system logs, application logs, uh telemetry data.
>> telemetry coming out of a CPU, all that stuff, right? Yeah, exactly. And so, so I start to think, okay, uh if we can use those AI technology to extract patterns uh for like those text or video, why we cannot use AI technology to extract patterns for our machines?
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