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,...
Link | Decision Intelligence, Complexity, Machine Learning
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Ted Danson does Decision Intelligence in The Good Place
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...
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Decision Intelligence has “Left the Lab”: Lessons Learned from 10 Years of Evangelism
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...
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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,...
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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...
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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...
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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,...
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,...
Ted Danson does Decision Intelligence in The Good Place
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...
Decision Intelligence has “Left the Lab”: Lessons Learned from 10 Years of Evangelism
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...
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,...
What should we do about “bad” AI?
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...
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...