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PG Madhavan
  • Bellevue, WA
  • United States
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Latest Activity

PG Madhavan posted a status
"Just published this yesterday in MEDIUM – "Trouble with Learning . . . consequences for AI Business""
Jul 5
PG Madhavan is now friends with Mehul Nayak, Kleanthis Koupidis and Jane Brewer
Jul 3
PG Madhavan's blog post was featured

AI Business Transformation Playbook for Executives

I am delighted to present my new blog - AI Business Transformation Playbook for Executives. originally posted here. I get into the nuts-and-bolts of AI Systems Solutioning in this rather lengthy blog but the “First Ten Plays” at the end summarizes the key steps. I look forward to your thoughts and comments.- PG“AI, IoT & 5G” – the confluence is a “perfect…See More
Jun 23
Sumudu Tennakoon liked PG Madhavan's blog post NEXT Machine Learning Paradigm: “DYNAMICAL"​ ML
Jun 2
PG Madhavan commented on William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
"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…"
Apr 26
PG Madhavan liked William Vorhies's blog post Causality – The Next Most Important Thing in AI/ML
Apr 26
Marius Alexander Schulz liked PG Madhavan's blog post NEXT Machine Learning Paradigm: “DYNAMICAL"​ ML
Jan 26
Prasanth liked PG Madhavan's blog post NEXT Machine Learning Paradigm: “DYNAMICAL"​ ML
Mar 21, 2018
gökhan sargın liked PG Madhavan's blog post Generalized Dynamical Machine Learning
Dec 29, 2017
Sung-Kook Han commented on PG Madhavan's blog post Machine Learning Ontology
"Good ~~~"
Nov 7, 2017
Sohail Iqbal liked PG Madhavan's blog post IoT Data Science & “DML” – match made in heaven?
Oct 1, 2017
PG Madhavan's blog post was featured

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
Sep 12, 2017
PG Madhavan posted a blog post

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
Sep 12, 2017
Parmod Kumar liked PG Madhavan's blog post Generalized Dynamical Machine Learning
Aug 19, 2017
Saurabh Prabhu liked PG Madhavan's blog post Static & DYNAMICAL Machine Learning – What is the Difference?
Aug 2, 2017
Rodolfo Layedra liked PG Madhavan's blog post Static & DYNAMICAL Machine Learning – What is the Difference?
Jul 27, 2017

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?
LinkedIn
Interests:
Networking, New venture

PG Madhavan's Blog

AI Business Transformation Playbook for Executives

Posted on June 21, 2019 at 2:30pm 0 Comments

I am delighted to present my new blog - AI Business Transformation Playbook for Executives. originally posted here. I get into the nuts-and-bolts of AI Systems Solutioning in this rather lengthy blog but the “First Ten Plays” at the end summarizes the key steps. I look forward to your thoughts and…

Continue

IoT Data Science & “DML” – match made in heaven?

Posted on September 11, 2017 at 12:30pm 0 Comments

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…

Continue

History as a guide to IoT growth trajectory

Posted on April 2, 2017 at 1:00pm 1 Comment

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.…

Continue

NEXT Machine Learning Paradigm: “DYNAMICAL"​ ML

Posted on March 18, 2017 at 2:30pm 1 Comment

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,…

Continue

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