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One of my biggest pet peeves with AI is the word itself. Words matter, especially in IT. Whether you’re trying to nail down a scope of work for a project, troubleshooting an outage, or even trying to buy a product, if everyone isn’t using the same terminology, you’re headed for trouble. You could even potentially be headed…
I’ve covered a lot in this series of posts around artificial intelligence (machine learning); from the beginning (Not Another AI Post…) to why I love it (My Affection for AI) to what I hate about it (My Animosity Toward Artificial Intelligence) to what scares me about it (AI-nxiety) and even why we need to decide what…
I’m 98% confident if you ask three data scientists to define Artificial Intelligence (AI), you will get five different answers. The field of AI research dates to the mid-1950s, and even earlier when you consider the work of Alan Turing in the 1940s. Therefore, the phrase “AI” has been kicked around for 60+ years, or…
So far I’ve written about my love and hatred of what AI can do for me (or cost me) as a network owner. This post is going to cover why I’m afraid to let a machine take the wheel and use all that artificial brain power to drive my network. A big joke across any field affected by AI is that Skynet and the Terminators are…
In my previous posts, I talked about the basics of AI in relation to network and systems management as well as why I love it. This post isn’t going to be as optimistic about the current state of affairs when it comes to AI. It isn’t the tech that bothers me. So what is my big problem with AI? The answer is simple and comes…
In my last post I mentioned one of the basic use cases for Artificial Intelligence (AI) in a modern network. AI can be utilized to not only bridge the informational gaps between functional teams, but can crunch that data down and provide predictions of growth or even failures for proactive management. Digesting large…
Modern network and systems engineers have a lot to deal with. Things like overlapping roles, constantly changing client devices, and new applications popping up daily create headaches beyond comprehension. The amount of data produced by packet captures, application logs, and whatever else you have to help troubleshoot…
By Joe Kim, SolarWinds EVP, Engineering and Global CTO With the advent of the Internet of Things (IoT) and connected devices, the amount of data agencies collect continues to grow, as do the challenges associated with managing that data. Handling these big data challenges will require federal IT pros to use new data mining…
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