In a new world of emergent
and automated technologies, artificial intelligence for IT operations (AIOPs)
stands out as a practical leader of the pack. The benefits of implementation
have already enhanced daily tasks like performance analysis, anomaly detection
and noise reduction, but 2019 looks to be a stellar year for an industry
already able to cut through the buzzwords with real success.
With Gartner recently
reporting that, "by 2022, 40% of all large enterprises will combine big data
and machine learning functionality to support and partially replace monitoring,
service desk and automation processes and tasks, up from 5% today," here are
two examples of how AIOps will make strides in the industry next year.
Overcoming the To-Do List of Decades-Old IT Challenges
We've been hearing the same
IT-related complaints for the last twenty years, like data management and
analysis, and with the rise and implementation of AI technologies, we're
finally able to circle back to those issues with a proper solution. The biggest
wins we'll see for the industry next year is that we'll finally be able to
resolve decades-old challenges in infrastructure observability and noise
reduction.
Reducing the Final 1% of IT Operational Noise
When we apply automation
technologies to IT operations today, we're able to see up to a 99 percent
reduction in noise. Over the next decade, experts and innovators will
continually be pushing to eliminate that extra 1 percent. While at first that
might sound like such a minimal accomplishment, the exponential increase in
data and information makes this a monumental task.
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