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About the Moss Interactive Intelligent Textbook

For many years I have been intrigued by moss. From my early days hiking deep in the woods, I can always recall the deep soft velvet green of the moss along the trail and along the creeks. It wasn't until I became more interested in gardening in my late 50s that I started my own moss garden. For me, being in my moss garden is like taking a short trip to another world that is always welcoming, gentle and relaxing.

As I started to enjoy moss more, I slowly became aware of the many varieties of moss. After watching some YouTube videos and joining the Moss Reddit group I became aware of the "Moss Subculture" around the world. I learned so much from these people and I decided to try to give back in whatever way I could. So here is my attempt.

Structure of an Interactive Intelligent Textbook

Like our other over 70 interactive intelligent textbooks, this book is composed of the following content:

  1. About a dozen chapters covering around 300 concepts
  2. Dozens of interactive infographics that help you understand the different types of moss and how to setup an indoor mossariums or a moss garden.

About Dan McCreary

Dan McCreary is a semi-retired AI researcher, solution architect, and educator who has spent more than three decades helping Fortune 100 organizations reason over massive datasets. At Optum he founded the Generative AI Center of Excellence and led the team that built one of the world’s largest healthcare knowledge graphs—spanning over 25 billion vertices—to unify member, provider, and patient insights. Dan’s deep background in knowledge representation and systems thinking underpins the precise learning graphs and intelligent textbook workflows used throughout this course.

He is the co-author of Making Sense of NoSQL (Manning Publications), the founding chair of the NoSQL Now! conference, and a frequent keynote speaker on semantic search, ontology strategy, and AI hardware. Beyond industry, Dan has mentored students as a STEM volunteer since 2014 now applies the same rigor to building open college placement Biology resources. You can visit the Intelligent Textbooks Case Studies to see over 70 textbooks that Dan has create or co-created with other authors.

Selected Credentials for Dan McCreary

  • B.A. in Physics and Computer Science from Carleton College
  • M.S.E.E. from the University of Minnesota
  • MBA coursework at the University of St. Thomas (33 of 36 credits complete)
  • Patent holder in semantic search and ontology management techniques
  • Advocate for large-scale Enterprise Knowledge Graph adoption across healthcare and education
  • Long-time promoter of accessible, low-cost AI-powered learning experiences

References