"Bill, yes, Causality Analysis IS the next wave in Data Science. Why? For BUSIINESS applications, dashboards, etc., are nice but the CxO wants to know which knobs to turn for a desired business outcome! Which is Prescriptive Analytics . . . not to…"
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IoT Data Science & “DML” – match made in heaven?
DML stands for “Dynamical Machine Learning” (more in the book, “SYSTEMS Analytics for IoT Data Science”, 2017). This match is not surprising once you realize that DML & IoT are both based on the venerable Systems Theory. Let us dig deeper . . .Consider IoT for industrial applications. A machine is instrumented with sensors, data are collected in real-time (or at intervals), communicated to the cloud where IoT Data Science techniques predict…See More
IoT Data Science & “DML” – match made in heaven?
DML stands for “Dynamical Machine Learning” (more in the book, “SYSTEMS Analytics for IoT Data Science”, 2017). This match is not surprising once you realize that DML & IoT are both based on the venerable Systems Theory. Let us dig deeper . . .Consider IoT for industrial applications. A machine is instrumented with sensors, data are collected in real-time (or at intervals), communicated to the cloud where IoT Data Science techniques predict…See More
History as a guide to IoT growth trajectory
Internet of Things (IoT) has generated a ton of excitement and furious activity. However, I sense some discomfort and even dread in the IoT ecosystem about the future – typical when a field is not growing at a hockey-stick pace . . .“History may not repeat itself but it rhymes”, Mark Twain may have said. What history does IoT rhyme with? I have often used this diagram to crisply define IoT.…See More
"Very interesting analysis. Particularly liked differentiating between entropy reduction and other prior drivers of industrial expansion."
Profile Information
- Short Bio
- PG is an expert in Predictive Analytics. He has 20+ years of software products, platforms and framework experience in leadership roles at major corporations such as Microsoft, Lucent, AT&T and Rockwell and startups, Zaplah Corp (Founder and CEO) and Solavei.
http://www.jininnovation.com/index.html
- My Web Site Or LinkedIn Profile
- http://www.jininnovation.com/index.html
- Professional Status
- C-Level
- Years of Experience:
- 25+ years
- Your Company:
- JIN Innovation
- Industry:
- Analytics
- Your Job Title:
- Algorist
- How did you find out about DataScienceCentral?
- Interests:
- Networking, New venture
PG Madhavan's Blog
IoT Data Science & “DML” – match made in heaven?
Posted on September 11, 2017 at 12:30pm 0 Comments 1 Like
DML stands for “Dynamical Machine Learning” (more in the book, “SYSTEMS Analytics for IoT Data Science”, 2017). This match is not surprising once you realize that DML & IoT are both based on the venerable Systems Theory. Let us dig deeper . . .
Consider IoT for industrial applications. A machine is instrumented with sensors, data are collected in real-time (or at intervals), communicated to the cloud where IoT Data Science…
ContinueHistory as a guide to IoT growth trajectory
Posted on April 2, 2017 at 1:00pm 1 Comment 1 Like
Internet of Things (IoT) has generated a ton of excitement and furious activity. However, I sense some discomfort and even dread in the IoT ecosystem about the future – typical when a field is not growing at a hockey-stick pace . . .
“History may not repeat itself but it rhymes”, Mark Twain may have said. What history does IoT rhyme with?
I have often used this diagram to crisply define IoT.…
ContinueNEXT Machine Learning Paradigm: “DYNAMICAL" ML
Posted on March 18, 2017 at 2:30pm 1 Comment 4 Likes
Dynamical ML is machine learning that can adapt to variations over time; it requires “real-time recursive” learning algorithms and time-varying data models such as the ones described in the blog,…
ContinueIoT Machine Learning – Industrial or Printing Press revolution?
Posted on November 2, 2016 at 12:00pm 0 Comments 0 Likes
Many people worry that "AI" will usher in a new Industrial revolution where machines replace humans. My take is that it will be more like the Printing press revolution that launched the Age of Enlightenment! The effect will be less of soaring productivity but more of better decision-making leading to a SMARTER society.
Part of the problem is the misnomer, "AI or artificial intelligence"…
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