AI and Machine Learning for Businesses The future we were promised may not have arrived in the form of jet packs, hover cars, and replicators (well, not yet, anyway), but…
In my last post, you may have noticed I mentioned “evil” four times, but also mentioned “good” four times. Well, you’re in luck. After all that talk about evil and ethics, I want…
Welcome to part one in a five-part series on machine learning and artificial intelligence. I figured what better place to start than in the highly contested world of ethics? You…
Check out this artificial intelligence (AI) glossary of key terms to familiarize yourself with, as these will be in business leaders’ vocabulary soon, if not already.
The generalist approach to AIOps management within the IT service desk is becoming increasingly mandatory.
This month, we’ve spent time discussing how cloud will affect traditional on-premises IT operations staff. Many IT pros have given feedback on how their organizations view cloud computing, whether it’s a…
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,…
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…
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…
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…
