Many years ago, I was hooked on reading crime thrillers, especially the kind that ended with an unexpected twist. One of these in particular has stuck in my mind to this day because the...
Like it or not, technology is everywhere. We have long ago passed a time where computers were relegated to men in white coats in distant rooms. It’s now in our pockets, in our faces,...
As I write about in Link, and as we discussed in the Responsible AI/DI Summit Science Fiction Panel last week, DI must be democratized—understood by everyone—to maximize its value and to ensure that we...
When Mark Zangari and I started Quantellia, we began with a market research study to ask “if technology should do one thing that it is not doing today, what would that be?” Fulfilling the...
I wrote previously about the emergence of applied, agile, assured AI. This post is a deeper dive, explaining the diagram, below, in more detail: Over the years, computer science has evolved through four eras,...
Please take a careful look at the above diagram (it is a simple Causal Decision Diagram (CDD), as described in Link). It is, by my understanding, one of the most important patterns we face...
As shown in the figure above, and as I have written about previously, AI is entering the mainstream, analogous to software engineering of a couple of decades ago. The challenges associated with successful AI/ML...
Lately, I’m surrounded by dogs: mostly service dogs, who are able to learn sophisticated behaviors and help their handlers in miraculous ways. And so I’ve been reading a bit of dog training theory. Surprisingly,...
OpenAI has built an AI that it suspects may be too dangerous to release to the public. What should it do? Sorry to say, but the technology train is hard to stop. Whatever OpenAI...
Conquering the most important problems faced by complex organizations often requires great models, not “big data”: in many situations, better decisions can be made with imperfect or incomplete data. As storage and processing costs...