Blog | industrialinsight

Jan 15, 2020
1 min

Manufacturing Intelligence Podcast

Sam Smith of Stellar One Consulting invited me to talk about my background and why I started Industrial Insight. I appreciate his invitation. I talk about challenges in manufacturing, where the future is going if changes aren't made, etc. https://www.stellaroneconsulting.com/blog/podcast-manufacturing-intelligence-turning-data-into-dollars #OperationalIntelligence #ManufacturingIntelligence #IndustrialInternetofThings

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Jim Gavigan

Jan 15, 2020
1 min

ML and AI Hype Train - Part 3

The hype train would have you believe that ML and AI are a "silver bullet" to solve all (or most) of your manufacturing problems. I say "not so fast." Here is part 3 of why. I discuss how preparing the data in different ways can reveal answers to different questions. We also discuss SIMCA for multi-variate analysis. #MachineLearning #Analytics #IndustrialInternetofThings #ManufacturingIntelligence

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Jim Gavigan

Jan 15, 2020
1 min

ML and AI Hype Train - Part 2

The hype train would have you believe that ML and AI are a "silver bullet" to solve all (or most) of your manufacturing problems. I say "not so fast." Here is part 2 of why. Ben Still and I discuss data quality and how raw data may not tell you the whole story. #MachineLearning #Analytics #IndustrialInternetofThings #ManufacturingIntelligence

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Are Industrial Data Historians an IIoT Platform?

Jim Gavigan

Aug 1, 2019
6 min

Are Industrial Data Historians an IIoT Platform?

**** This is originally posted on Martin Davis's Industry 4.0 blog. I suggest you give him a follow. The original post where you can see how to follow him is here. **** A few weeks ago, Martin Davis and I were invited to present on a webinar hosted by Fluke/Accelix. We talked about the importance of the IIoT and Industry 4.0 as it pertains to maintenance. Martin talked strategy and how all of the pieces fit together and what you should be thinking about. I then showed some ex

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PI World 2019 Presentation - Telling stories with data that set your company on fire

PI Data Extraction Part 2 - Slicing Data with BI Tools

Jim Gavigan

Mar 27, 2019
1 min

PI Data Extraction Part 2 - Slicing Data with BI Tools

In this video, we take sampled data from PI Datalink and slice it with Tableau and Power BI. We also discuss the concept of combining data sets for investigations with BI tools. We can create "event frame like" investigations using these tools with raw data. Once again, I reference Rick Smith's presentation from the 2018 PI World conference: https://www.osisoft.com/Presentations/Feeding-the-Machine-Learning-Monster/ I also mention some videos on PI Datalink, which you can see

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PI Data Extraction - Part 1 the Decision Process

Jim Gavigan

Mar 21, 2019
1 min

PI Data Extraction - Part 1 the Decision Process

We were asked what tools we use for extracting data out of the PI System. This is part 1 - the decision making process on the right data extraction tool. There will be several videos to follow showing data analysis techniques and the extraction methods used for each. I mentioned Rick Smith's presentation in the video - here is the link: https://www.osisoft.com/Presentations/Feeding-the-Machine-Learning-Monster/ #OperationalIntelligence #Analytics #IIoT #ManufacturingIntellige

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Why is Digital Transformation So Important? A Conversation with Buck Bard

Jim Gavigan

Mar 14, 2019
1 min

Why is Digital Transformation So Important? A Conversation with Buck Bard

Buck Bard is a former colleague of mine at OSIsoft. Buck focuses on leading companies through digital transformation workshops, and is well versed in methods like design thinking and others. We spoke for an hour, but this is about an 8 minute snippet on what we both believe is the single biggest reason for digital transformation, and that is knowledge transfer. Every industry is seeing massive changes in the workforce through retirement and younger workers coming into the fol

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Why PI AF is CRITICAL - Part IV, Multi-Variate Data Analysis

Jim Gavigan

Feb 28, 2019
1 min

Why PI AF is CRITICAL - Part IV, Multi-Variate Data Analysis

In these two videos, I show how PI AF and PI Event Frames can help with multi-variate data models and I also talk in more detail about what I think our future in control rooms in manufacturing will look like. I truly believe that technology like this, married with domain expertise, has the potential to drastically change manufacturing for the better. Analysis tools like SIMCA and SIMCA Online will help us get to value way faster than ever before. I believe that tools that OSI

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Why AF is CRITICAL Part 3 - How These Tools Fit into Advanced Analytics

Jim Gavigan

Feb 13, 2019
1 min

Why AF is CRITICAL Part 3 - How These Tools Fit into Advanced Analytics

In these videos, I talk about how PI's Asset Framework and Event Frames help with advanced analytics and machine learning efforts. I also talk about "in the meantime" solutions and how they can help in potential longer range data science (machine learning, multi-variate data analysis, and AI) projects down the road. Here is the 3 minute synopsis: If you want to watch on YouTube: https://youtu.be/VuyTugAe0PQ Here is the full 18 minute discussion: If you want to watch on YouTub

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Sometimes, the Simple Analytics Can be HUGE!

Jim Gavigan

Feb 7, 2019
1 min

Sometimes, the Simple Analytics Can be HUGE!

Sometimes, it is the often, simple analytics that can help us a ton. In this video, I show an example. You can see it here If you can get to YouTube and if you like the content, please subscribe and hit the bell, as you will be notified when we post a new video! If your company blocks YouTube, hopefully, it will play below. #Analytics #OperationalIntelligence #IIoT #ManufacturingIntelligence #IndustrialInternetofThings #AssetFramework #OSIsoft #PISystem

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Is Technology Really Our Problem in IIoT?

Jim Gavigan

Nov 27, 2018
3 min

Is Technology Really Our Problem in IIoT?

So, I saw this tweet below recently and read the article. I got pretty fired up over this article too, not because of what Michael Kanellos said, although I really don't agree with what he said in the tweet either. What I got fired up over was the fact that I believe that there is a LOT of great technology out there right now and the reason it isn't being used is in fact, people. Do I believe that the whole article was hogwash? Absolutely not, as there is some well-intentione

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Jim Gavigan

Nov 9, 2018
1 min

Featured "PI Geek"

I am featured as the "Monthly PI Geek" on OSIsoft's user forum called "PI Square." For some reason, this strikes me as comical, as there are much smarter and "geekier" people than me on the PI System, although I can hold my own with a lot of it. I take it as an honor and thanks to whoever nominated me to Rick Davin. #Analytics #OSIsoft #PISystem #EventFrames #AssetFramework #ManufacturingIntelligence #OperationalIntelligence #IndustrialInternetofThings #IIoT

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Jim Gavigan

May 7, 2018
1 min

PI World Presentation 2018

On April 25th, 2018, I had the pleasure of co-presenting with Rick Smith of International Paper. It was a great experience and an honor to present with someone I have looked up to and considered a friend for the last 5 years. In the video, you will see some examples of the work we have been doing with the latest PI tools and with some Business Intelligence software like Power BI and Tableau. I will say this, I truly believe that we are only scratching the surface of what COU

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Manufacturing Wake Up Call and 6 Strategies You Need to Consider

Jim Gavigan

May 2, 2018
11 min

Manufacturing Wake Up Call and 6 Strategies You Need to Consider

I have been thinking a lot about this topic and have even written about it before, but I am not sure I have stressed what I believe enough. The issue is that we simply aren't doing enough to modernize manufacturing, especially around how we use data. We just aren't. Unfortunately, this affects the next generation workforce that we are raising, and I think that this will have a MAJOR impact on manufacturing sooner than many people think. You know how I can tell? I have talked

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Jim Gavigan

Nov 16, 2017
6 min

Data Quality - The Elephant In The Room

So, you are looking to add time-series data from one of your facilities to your data lake to start doing "Big Data Analytics" on the data, huh? Well, do you REALLY understand how good your data is in that unknown time-series world? I would be willing to bet that some or all of it isn't that useful to you. Sure, some of it will be fine, or so you think. However, that one key data stream may not be at the fidelity that you need to unlock any insights about something you really

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The Missing Ingredient In Digital Transformation - Company Culture

Jim Gavigan

Oct 19, 2017
3 min

The Missing Ingredient In Digital Transformation - Company Culture

I have written extensively on what it takes to be successful in the digital transformation/IIoT space, but one topic that I really haven't touched on is likely the most important for success, and that is company culture. What I am finding is that if I find a company or plant within a company that is data-driven hungry to optimize and get the very last drop of productivity out of their plant that they can, they are much more likely to succeed in this space. Those that are runn

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Digital Twin: Hype or Substance? Part II

Jim Gavigan

Sep 20, 2017
3 min

Digital Twin: Hype or Substance? Part II

I am sorry I am a week late in writing this, but I had a little distraction in a wind and rain storm called Irma. She decided to knock power out for me for almost 4 days, but I consider myself fortunate as so many lost everything. My heartfelt prayers are for those that sustained much more damage than I did and/or are who going through Maria's wrath right now. So, down to business. I have done some more thinking about the Digital Twin concept and have talked with numerous oth

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Jim Gavigan

Aug 23, 2017
5 min

Digital Twin: Hype or Substance?

A recent conversation with John Murphy, the former chief mechanical officer at CSX Railroad has actually made me significantly re-think the content of this blog, and this will be considered part I - where I state that digital twin technology is still "hype" and may never realize full value for some industries. However, John gave me reason to write part II about the substance of this topic and this topic may not just be hype for the industries I mention below. Many of you prob

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