Responsible AI attribution frameworks & professional AI training
15 years consulting → 9 years Red Hat → 4 years Boston University. Training the next generation of professionals to use AI responsibly and effectively.
Every idea connects to another —exploring how 25+ years of platform innovation creates unexpected bridges between domains.
Recent insights on AI attribution, professional training, and responsible integration.
Getting started with containers? One cool way to start is by making a container that can run an application that is unavailable on your host operating system.
As you probably know, I teach an Introduction to Data Science class, DS-100, which is geared to students with little or no computing background. The class borrows content, themes, examples, etc. from a class at UC Berkeley called Data 8. The Data 8 team has been running a National Workshop on Data Science Education for…
When deciding on a Technical Stack, based on open source tools, one must always keep track of the popularity of the stack components and their future. As an organization supporting experiential learning for students, Spark! also has a unique constraint on our technical stack. We want to be sure that students are utilizing tools and technologies that will be relevant in the workforce when they graduate.
One of the key use cases for modularity is application independence. This means that applications can be updated, installed, or removed without impacting the rest of the system. It also means that different versions of the same application can coexist, allowing for greater flexibility and less risk when deploying new software.
Reblogging is a feature that allows you to share someone else’s post on your own blog, giving credit to the original author and expanding the reach of the content. It’s a great way to highlight interesting posts and add your own commentary.
My journey from platform consulting to Red Hat engineering to Boston University initiatives has shaped a unique perspective on responsible AI integration. I focus on building attribution frameworks that make human-AI collaboration transparent and effective.
Learn More About My WorkSpeaking engagements, initiative partnerships, professional AI training, and consulting on responsible GenAI integration.
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