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PG Madhavan
PG Madhavan
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Dr. PG Madhavan is the Founder of Syzen Analytics, Inc. He developed his expertise in Analytics as an EECS Professor, Computational Neuroscience researcher, Bell Labs MTS, Microsoft Architect and startup CEO. PG has been involved in four startups with two as Founder. PG has 12 issued US patents and over 100 publications & platform presentations to Sales, Marketing, Product, Industry Standards and Research groups.

Artificial Intelligence for the Next 10 Years

When we approach something that we don’t fully understand, it is better to be safe than sorry! In that spirit, a “safety net” . . . Build NO solutions where the software can modify the hardware at software’s will. ALL…

Neural Plasticity & Machine Learning

Neural plasticity is the physical substrate of learning. Neurochemical changes mediate short-term learning and structural changes (new branches and connections) establish long-term learning along with functional changes. Contrary to past beliefs, it is now known that these plasticity events continue…

What exactly is Data Science?

Reading some recent blogs, I sense a level of angst among Data Science practitioners about the nature of their field. What exactly IS Data Science – a question that seems to lurk just below the surface . . . As…

Independent Analytics Vendor (IAV) – a new vendor category?

ISVs are commonplace in software and technology business. Per Wikipedia, an independent software vendor (ISV) is an organization specializing in making software, designed for mass or niche markets. This is in contrast to software developed for in-house use only within…

Four hard topics in Analytics explained in plain English

  Machine Learning in plain English If someone asks you, “What is ML?”, what will be your conceptual, non-technical answer? Mine is . . . ML is “cluster”, “classify” and “combine”. I use these words in their English language sense…

BIG Data & Analytics, Data Science, Machine Learning . . . 10 random insights!

#1: What really is BIG Data? Today, we can store and process so much data that we have nearly captured reality; no more sampling biases/ errors or related issues – this is my definition of Big Data; not tera or…

Machine Learning – a unifying perspective & new paths

Pedro Domingos in his new book, “The Master Algorithm”, has done us a huge favor. As is true of any emerging technology field, Machine Learning (ML) is a “bag of tricks” today; it takes a while for a unifying framework…

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