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,...
Category: Machine Learning
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...
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...
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...
AI and IA: What the future holds
As we look forward into 2017, intelligence augmentation (IA) will begin to take its rightful place alongside artificial intelligence (AI). Here’s one of my talks about this. Summary below.
Pulling Back the Curtain on #MachineLearning Apps in #Business
Please enjoy this interview broadcast today with me and Daniel G. Faggella of TechEmergence. I touch on intelligence augmentation (IA), machine learning in vision, text, and other domains, the emerging decision intelligence ecosystem, the...
Artificial intelligence and human limits
Are we getting dumber? Or is stuff just harder? Both are true. Between-silo problems are the new bottleneck. We’re inundated with information, so we take cognitive short cuts. And “wicked” problems keep getting...
From maker space to solver space
Conferences are for meetings. Project teams build deliverables. Data is for data scientists. Online communities are for social contact. Until now, when a new mix is emerging. Can we solve difficult problems in a...
