Whether you build (in-house) or buy (vendor), your software should specialize in identifying gaps in your data.
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Darktrace’s unsupervised-learning models sound the alarm before intruders can cause serious damage.
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While efficiency and risk analysis are the top use cases today, the data center industry is only scratching the surface of what will be possible in the future.
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Even the best AI tools are more artistry than science, require reams of carefully curated data from which they inherit significant biases, cannot generalize beyond their domains and are black boxes that even their creators don’t fully understand. In short, they are pattern extractors, not magic.
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Machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt
Sourced through Scoop.it from: www.infoworld.com
How companies old and new are integrating machine learning in data center management tools to improve data center availability.
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Facebook provided more details on how it's using machine learning to combat terrorism-related content on its platform. But does it actually work?
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A combination of machine learning and new data gathering tools could help warn firefighters in California earlier and possibly even save lives.
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