The #COVID19 Driver’s Seat
I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery. I made it through, but along the way, and with the perspective afforded by a lot of...
Category: Artificial Intelligence
Welcome to the Personal Artificial Intelligence Revolution
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,...
AI projects face new challenges, need new roles, and engage in new activities as they move into mass commercialization
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,...
Decision Intelligence and the Tragedy of the Commons
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...
Towards Assured, Agile, Applied AI/ML/DI
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...
Why Causal Decision Diagrams are the Most Important New Development in Solving the Most Complex Problems (and what that has to do with dogs)
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,...
Big Decisions, Small Data: Eight Key Principles
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...
Machine Learning Software Engineering: Top Five Best Practices
Back in the day when coding was new, as soon as software team was hired for a project, management would command: “code”. No design, no planning, no requirements, no oversight, nor QA. After too...
Machine Learning Classic Mistakes, Best Practices, and Epic Fails: experiences from over 30 years of applied projects
I and my teams have been delivering machine learning projects for about three decades, from work on the Human Genome Project in the 1980s through sensor fusion for the Department of Energy for hazardous...
Decision modeling together, to save the world
Organizations like the Millennium Project, certain government agencies, companies from the smallest to large transnationals, and the United Nations have recognized that, in a complex world, the risk of decisions that lead to unintended...
