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PG Madhavan
  • Bellevue, WA
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PG Madhavan commented on William Vorhies's blog post Two Hot Growth Areas for IoT
"Great insights, Bill. Also there will be another bucket of opportunities for startups - similar to ISVs and IHVs built on Microsoft platform (Windows). In this iteration, they can build companies by creating products using GE, Hitachi, and other IoT…"
Nov 9, 2016
PG Madhavan posted a blog post

IoT Machine Learning – Industrial or Printing Press revolution?

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" (which may be great marketing).…See More
Nov 2, 2016
PG Madhavan's blog post was featured

IoT Machine Learning – Industrial or Printing Press revolution?

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" (which may be great marketing).…See More
Nov 2, 2016
Gayathry Dasika liked PG Madhavan's blog post IoT as a Metaphor
Oct 21, 2016
Gayathry Dasika liked PG Madhavan's blog post IoT as a Metaphor
Oct 21, 2016
Shay Pal liked PG Madhavan's blog post IoT as a Metaphor
Oct 16, 2016
PG Madhavan posted a blog post

IoT as a Metaphor

What exactly is “IoT”? Internet of Things, yes; but what does that mean?Internet of Things is a structural definition; it says there are “Things” such as sensors and devices (on machines or people) connected together in a Network. So what? What does a Network of Sensors & Devices allow us to DO? What is the functional description of IoT?Being able to connect things together is “table stakes” at the intelligence augmentation game. What you are able to do with this network is the real…See More
Oct 16, 2016
PG Madhavan's blog post was featured

IoT as a Metaphor

What exactly is “IoT”? Internet of Things, yes; but what does that mean?Internet of Things is a structural definition; it says there are “Things” such as sensors and devices (on machines or people) connected together in a Network. So what? What does a Network of Sensors & Devices allow us to DO? What is the functional description of IoT?Being able to connect things together is “table stakes” at the intelligence augmentation game. What you are able to do with this network is the real…See More
Oct 16, 2016
Prashant Natarajan liked PG Madhavan's blog post Static & DYNAMICAL Machine Learning – What is the Difference?
Oct 13, 2016
Parmod Kumar liked PG Madhavan's blog post Static & DYNAMICAL Machine Learning – What is the Difference?
Oct 13, 2016
Stéphane liked PG Madhavan's blog post Static & DYNAMICAL Machine Learning – What is the Difference?
Oct 10, 2016
PG Madhavan's blog post was featured

Static & DYNAMICAL Machine Learning – What is the Difference?

 In an earlier blog, “Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation”, I introduced the need for Dynamical ML as we now enter the “Walk” stage of “Crawl-Walk-Run” evolution of machine learning. First, I defined Static ML as follows: Given a set of inputs and outputs, find a static map between the two during supervised “Training” and…See More
Oct 6, 2016
Shrinivas M Bakale liked PG Madhavan's blog post Generalized Dynamical Machine Learning
Sep 24, 2016
Kevin Bass liked PG Madhavan's blog post Generalized Dynamical Machine Learning
Sep 21, 2016
PG Madhavan's blog post was featured

Generalized Dynamical Machine Learning

In this year of Rudolf Kalman’s demise, this article is dedicated to his memory. We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream Analytics. Clearly, such a solution will accommodate Static, Linear and Offline (or any combination thereof) Machine Learning tasks. The value of such a solution is significant because the same method can be used for classification and regression (including…See More
Sep 19, 2016
PG Madhavan posted a blog post

Generalized Dynamical Machine Learning

In this year of Rudolf Kalman’s demise, this article is dedicated to his memory. We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream Analytics. Clearly, such a solution will accommodate Static, Linear and Offline (or any combination thereof) Machine Learning tasks. The value of such a solution is significant because the same method can be used for classification and regression (including…See More
Sep 19, 2016

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
Field of Expertise
Analytics, Data Science
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?
LinkedIn
Interests:
Networking, New venture

PG Madhavan's Blog

IoT Machine Learning – Industrial or Printing Press revolution?

Posted on November 2, 2016 at 12:00pm 0 Comments

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"…

Continue

IoT as a Metaphor

Posted on October 16, 2016 at 9:30am 0 Comments

What exactly is “IoT”? Internet of Things, yes; but what does that mean?

Internet of Things is a structural definition; it says there are “Things” such as sensors and devices (on machines or people) connected together in a Network. So what? What does a Network of Sensors & Devices allow us to DO? What is the functional description of IoT?

Being able to connect things together is “table stakes” at the intelligence augmentation game. What…

Continue

Static & DYNAMICAL Machine Learning – What is the Difference?

Posted on October 6, 2016 at 10:04am 0 Comments

 

In an earlier blog, “Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation”, I introduced the need for Dynamical ML as we now enter the “Walk” stage of “Crawl-Walk-Run” evolution of machine learning. First, I defined Static ML as follows: Given a set of inputs and outputs, find a static map between the two…

Continue

Generalized Dynamical Machine Learning

Posted on September 18, 2016 at 8:00am 0 Comments

In this year of Rudolf Kalman’s demise, this article is dedicated to his memory.

 

We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream Analytics. Clearly, such a solution will accommodate Static, Linear and Offline (or any combination thereof) Machine Learning tasks. The value of such a solution is significant because the same…

Continue

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