We’ll be covering a lot of ground in the upcoming series of posts so I wanted to lay out a bit of a map of where we will be going over time. Like in the early days of cloud computing, there is much confusion around Robotics, RPA, AI, ML, big data, and even infrastructure. I […] Read More⇒
There is a battle going on in the X-as-a-Service (XaaS) world that barely anybody is even aware of. That’s the battle to build the most comprehensive, most performant artificial intelligence and machine learning as a Service platform (AI/MLaaS). In this post, I will compare AWS, Azure, and GCP’s AI and ML platforms side by side. […] Read More⇒
I think it’s important to begin to learn more about A.I. so I have built on the excellent list provided by Robbie Allen. Much thanks to him for his initial work. If you have additional suggestions on either the organization of this content or other important items to add, please let me know. GENERAL BROAD […] Read More⇒
A.I. is not that old - roughly 60 years, depending on where you start counting. I wanted to get a clear sense of the building blocks and milestone moments along the way so I built this little chart. Read More⇒
Definition of AI Google “definition of AI” – go ahead – here is the link – you’ll get pages and pages of definitions, some humorous, some silly, and some that are impossible to understand. Here is a small sample of them and I’ll close with the one that I like the most as somebody who […] Read More⇒
New series on AI and Machine learning focused on how it can be applied to solve business problems and who the key players are in the industry. Read More⇒
You have your Apple Watch and/or activity tracker or sportwatch and now you want to know how to connect all those apps that are piling up on your watch and phone. Here is the beginning of a map that shows everything as follows: Heart rate sensors on the left (you can still attach them to an […] Read More⇒