BMC TrueSight Operations Management Artificial Intelligence

Do you use the solution's machine-learning and analytics to deploy Artificial Intelligence for IT ops? If yes, please describe how it has affected your infrastructure or application performance.

Paul Mercina
Director Product Management at Park Place Technologies
We've had a number of cases where, through the analytics in TrueSight, we've actually been able to predict failures. For instance, we've already had a couple of cases where, if we see a hard drive on a storage array is going to fail, we'll actually send the part out ahead of the failure. That allows us to replace that drive before it fails - and on the customer's planned downtime. In the old model, it fails, it's down. The customer waits for us to come out, swap it out, and bring everything back up. In the predictive model, we know it's going to fail, we send the part out ahead of the failure, and we replace that drive on the customer's scheduled downtime. The more of that we can do - and as we expand beyond hardware into operating system, application, and the other layers of infrastructure - we'll be able to exploit the machine learning and the AIOps to a greater degree than what we're doing today with hardware. We've already seen a few examples where that's an added value to what we're doing on the hardware side.
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Mudassir Parwez Ahmed
Sr. Technical Consultant at a tech services company with 11-50 employees
The TrueSight solution has built-in intelligence. It uses its analytical engine, an AI engine, to look at the performance data for anything that it's monitoring and it creates a baseline of the performance. Then, it gives you abnormality alerts based on the baseline. Even if your threshold is not crossed, but the baseline of that metric is crossed, it will intelligently give you an alert saying that this metric is trending above the baseline. There may be a case where the static threshold has been set too high, but TrueSight has the intelligent analytical engine that can analyze the trend or the baseline, and then give you an intelligent alert. The Probable Cause Analysis uses the analytics engine to figure out what the probable cause may be for a particular alert. BMC is making good progress in terms of AI.
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