PG Madhavan
  • Male
  • Maple Valley, WA
  • United States
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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.
JIN Innovation
Job Title:
C-Level/SVP/Executive Team
Job Function:
United States
Number of employees:
1 to 49
LinkedIn Profile:
Contributing, Networking, New venture
Topics of Interest
Data Science, Machine Learning, Internet of Things (IoT), Neural Networks

PG Madhavan's Blog

ML and Causality – Why?

Posted on May 20, 2021 at 8:00am 0 Comments

Machine learning is “Competence without Comprehension” as famously noted by Dan Dennett, the pre-eminent philosopher of our times. There are two aspects to Machine Learning (ML) “comprehension”.

Artificial General Intelligence (AGI) hopes to infuse ML with comprehension. The other less lofty aspect is that WE would…


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…


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…


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.…


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