My Search for Meaningful Industrial IoT Knowledge – Daniel Yarmoluk – Medium

  • My Search for Meaningful Industrial IoT KnowledgeAs we product managers, technologists and business development professionals are looking for ways to customize solutions, products and business models for the Industrial Internet of Things, we are increasingly hungry for quality information.
  • Thus, I am reading every book, white paper, article, product release, podcast and YouTube video on the subject that span the technology stack looking to glean insights about where the value chain is and the gaps that present opportunity.To further my understanding last year I decided to pursue a Master’s of Data Science to truly bridge between business needs and what the data science can provide.
  • It has been a great journey and I feel I am in the center of exponential technologies and changes and able to grip the nodes of what’s possible while being customer obsessed and changing the way how value is delivered in an “industrial SaaS” model with domain-rich information to solve issues.
  • I feel we are close to cracking the code, and my journey for valuable information lead me to a book by Dr. Timothy Chou entitled, Precision: Principles, Practices and Solutions for the Internet of Things.
  • Precision is a great book to explain the technology at enough depth to provide credibility but keep business readers engaged and then leads to examples.

As we product managers, technologists and business development professionals are looking for ways to customize solutions, products and business models for the Industrial Internet of Things, we are…

@YarmolukDan: My Search for Meaningful Industrial #IoT Knowledge #IIoT #Industry4 #DataScience #AI…

As we product managers, technologists and business development professionals are looking for ways to customize solutions, products and business models for the Industrial Internet of Things, we are increasingly hungry for quality information. Most of what we read today are great forecasts of billions of connected products and how information will lead us through a “fourth industrial revolution”. Secondarily, we read of how algorithms and models that lead to better predictive techniques, big data, machine learning and artificial intelligence as a panacea for growth. While I agree with those statements, there is a lack of domain-specific information for driving this incremental value with connectivity and data science. Thus, I am reading every book, white paper, article, product release, podcast and YouTube video on the subject that span the technology stack looking to glean insights about where the value chain is and the gaps that present opportunity.

To further my understanding last year I decided to pursue a Master’s of Data Science to truly bridge between business needs and what the data science can provide. It has been a great journey and I feel I am in the center of exponential technologies and changes and able to grip the nodes of what’s possible while being customer obsessed and changing the way how value is delivered in an “industrial SaaS” model with domain-rich information to solve issues. I argue that more data-rich continuous monitoring solutions to a very lean manufacturing staff will not be utilized; it must be integrated into workflow and immediate resolution options to alleviate the issue now detected with this meaningful information. In other words, going from a monthly blood pressure check to continuous blood pressure monitoring and telling the patient he’s having a heart attack is not enough, we must schedule and perform the surgery as well. I feel we are close to cracking the code, and my journey for valuable information lead me to a book by Dr. Timothy Chou entitled, Precision: Principles, Practices and Solutions for the Internet of Things. Note Dr. Chou is a lecturer at Stanford and former President of Oracle on Demand.

Dr. Chou’s book is divided into two parts, the first being principles and practices and second being solutions in action today. Part 1: Principles and Practices speaks of the technology stack, where it came from in a format of “Things” — sensors and products; “Connect”; “Collect”; “Learn” and “Do”. Part 2 provides 14 examples in action of Things/Connect/Collect/Learn/Do format from Precision Mailing, Precision Trains, Precision Gene Sequencers, Precision Cooling Tower, Precision Water…to name a few. If you want a sample check out the Precision Race Car story. Precision is a great book to explain the technology at enough depth to provide credibility but keep business readers engaged and then leads to examples. The span of examples provides breadth that somewhere in the mix one will find relevancy to get your thoughts stirring on how you can hone, calibrate or develop your product and service offering and I wholeheartedly recommend it.

I liked the book so much I wrote a review and recommended it to the Dean of Software Engineering at St Thomas, Dr. Bhabani Misra, where I am pursing the Masters program. I felt if the data science students, the coders, modelers and others could see relevance into the business issues, it would create an entrepreneurial view for this group of and drive insight. The Dean and I had the opportunity to have a great conversation with Dr. Chou of implementing into the program and the various gaps that engineering educational programs could bridge to realize IoT promise’s and forecasts previously mentioned. Dr. Chou’s insight and experience should be leveraged, it’s very meaningful in this time of exponential technologies in human history. If you’re interested his work is being turned into a online, video-enabled, mobile class, just register at www.precisionstory.com/class to get more details.

Originally published at https://www.linkedin.com on January 26, 2017.

My Search for Meaningful Industrial IoT Knowledge – Daniel Yarmoluk – Medium

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