Talking to Joe Clark on the podcast, who is the principle scientist and owner of HSB Intel, a firm focusing on applied AI and machine learning, a variety of customers from NASA to the Defense Department… we talk about a range of AI-related subjects, but first I ask him to tell us a little bit about himself and how got involved in applied AI.
Joe recently authored a paper on self-assembling neural networks that is getting national attention, he dives further into that topic.
We also spent some time together in Chicago a couple of weeks ago, where we talked about the basics of AI, what is it, what’s the different between AI, machine learning, deep learning, neural networks… I wanted to include that conversation in this podcast for everyone here to get a baseline of exactly how the field of AI is structured.
From a media perspective, the concept of AI and machine learning is tough to escape, journals, news… precipitating a groundswell of interest from just about every type of business you can imagine. I ask Joe what are the most common roadblocks organizations will encounter on their journey to being an AI-driven enterprise.
I ask if small businesses can take advantage of AI, and if Joe has any advice for those just starting their exploration of AI.
An interesting thing we talk about is hype associated with AI, and whether the applied side of AI has been overpromised. I initially thought when I asked Joe this question that his initial thought was that yes, it’s absolutely overhyped and overpromised… but his take on this question goes all the way back to the early days of the internet…