The AI “Blackbox” Explained
We’ll talk about some of the fundamentals of Artificial Intelligence, which are the most relevant for Product Development and Product Thinking.
The AI Basics
Before jumping into the three components of AI, let’s talk about why it’s important to understand how AI really works. First, you can’t manage what you don’t understand. Hopefully, that’s self-explanatory. If AI is powering your product, and potentially your company’s success, not understanding how it works means you’re not set up to be successful in your job.
For non-AI engineers, there’s a tendency to think of AI as this “black box”. For background, the term AI, Artificial Intelligence, was invented in the ’50s and has been researched heavily ever since. The biggest recent change in AI has not been the algorithms but rather the computing power and better proliferation enabling those algorithms to scale and reach incredible results.
Let’s talk about how Artificial Intelligence really works, and to keep it simple, we’ll only focus on the three main components of AI that I think you should know!
Number one, the objective.
What is the task you want your algorithm to learn? Remember that ultimately, AI learns to…
