July 2016
Intermediate to advanced
392 pages
9h 38m
English
Content preview from Smarter Decisions - The Intersection of Internet of Things and Decision ScienceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
This chapter was an introduction to Decision Science and IoT. You learned about the basics of IoT and how it evolved and understood the differences between ambiguous names such as M2M, IIoT, IoE, and others. We studied the logical architecture of the IoT ecosystem by considering IoE and learned how People, Processes, Data, and Things together form the IoT ecosystem. We also discussed decision science and understood more about defining a problem based on the current life stage as Muddy, Fuzzy, or Clear, based on its type as Impactful and Frequent, and finally based on its nature as Descriptive, Inquisitive, Predictive, or Prescriptive. We also studied that problem solving in decision science requires an interdisciplinary approach using ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.