Top IoT Platforms - Part 1 Overview

the top iot Platforms in the world take zero all right so this is part one of a two-part video series that will include a LinkedIn article post Gardner magic quadrant came out um in April for their Global iot platforms list and obviously it was garbage uh I did a whole podcast with Zach last week that link will be in the description or I I just do a takedown on it in this video what I'm going to do is I'm going to Define what a platform is I'm actually to go through a whole bunch of stuff to kind of lay the framework like what the selection criteria is for the iot platforms that we're putting in our our top tier list we'll probably do it um we won't do it as a quadrant because I don't know I'm I'm sure Gartner trademark did or whatever so we we'll just do it as a tier list um of iot platforms I'm going to kind of lay out what an iot platform is in this video interesting you know why are we doing this the reason we're doing it is because manufacturing Executives need to stop listening to Gardner they need to stop listening to Forester they need to stop listening they need to stop listening to the to the firms whose business model is designed to get both the vendor and the customer to pay them money to put each other together because the reason that's flawed is number one Gartner in their magic quadrant that you look here Gartner doesn't say uh they don't qualify what they put in the quad okay they don't say the fact that it listen if if a vendor is not a customer of ours then they're not going to rank highly here okay they don't point out that being on the quadrant is pay for play that doesn't mean that people pay for their spot on the quadrant but rest assured the more money you give Gartner the better Gartner markets you in their products okay like the magic quadrant which is a product it's not a report that the analysts I'd love any of the analysts that put together the magic quadrant if I put together a quadrant okay if I put together a tier list of the best iot Platforms in the world bet your ass I'm going to be able to defend it if somebody comes on and says come comes out and does a public video and goes I think this is garbage hey Walker I want you to come on my podcast and defend it I'm going to be there okay nobody from Gardner is going to come on here and defend this what's amazing to me is that anyone in that people in the market actually listen to them and the reason I have to come and shoot this video the reason other people have to speak up guys like Rick Bala and those of us who are not going to get hurt by Gartner financially is because they are misleading people are they doing it intentionally probably not they probably believe I'll bet you those analysts believe they know the rules that they're only putting people who pay Gartner on there but I'll bet you they believe that they were that they were mostly fair in this quadrant I believe I bet you believe they believe that but that quadrant that I'm this quadrant right here is garbage it is it is not I mean there are there's on here it's not even platform ex like for example Eurotech is not a PL platform root cloud is not an iot platform loan cognite they are brain Cube I wouldn't call an iot platform PTC is more of a Enterprise class dashboarding tool could it be a platform could P thing works be a platform if you couple it together with like say osip Pi maybe you know probably you could get away with it Seamans has a platform universe is not a platform Microsoft's a company they just blew their P platform up last year so I mean half the stuff on here is not a platform okay but this is garbage I mean this is absolute garbage and the reason I got to shoot a video on it is because there's people who listen to Gardner there are Executives who listen to Gartner and they steer their organizations in the wrong direction and by the way there's nothing I'm saying here I can't defend if someone from Gartner wants to come on and defend their argument I'm I'm all yours all right let's let's go over where my position comes from all right so when we score a manufacturer on digital maturity so when we look at a manufacturer and we go hey they want to achieve the Holy Grail of manufacturing right the Holy Grail of manufacturing is they want to become a fully integrated business made up of digital factories but what does that mean it means that everything and everyone's plugged into a network the layers of the business are integrated and operate Based on data and information from all the other layers in real time so a really good example would be the quality management system isn't transactional it isn't interval it is just natively it's just plugged into the process events that are happening process and business events that are happening all across the organization so I don't have someone taking a sample definition and a sample sheet and walking out to take a quality sample they are we're driving an event into the lab that is automatically collecting the data for that sample and Reporting it directly into the lab that is the layers of the business being integrated and operating Based on data and information from all the other layers and time another really good example would be like recipe management the genealogy of recipe management is natively integrated so if I'm a process engineer and I develop a specific recipe for a process and the operator who downloads my recipe into the control Hardware to operate the machine but then they got to tweak it they've got to make changes to the set points that are in the the recipe the way that those variances there's generally tolerances in that recipe if I say the set point on this drive needs to be 31 Hertz on for running this product um I'm allowed to adjust it up or down two Herz I can go up to 33 or down to 29 and the operator discovers that they've got to go outside of that range an organization that is natively integrated and operating Based on data information in real time is if the operator goes outside of that range there we are requiring the operator to give a reason and that's being reported directly to the process engineer in real time that that happens so that they can incorporate that they can either do an investigation and they can incorporate that into an updated recipe for that product okay stakeholders know the state of the business in real time if we know the state where are we relative to plan what is my current state in my domain if I know my current state and I store it then I can leverage machine learning I can start looking at the past learning from the past monitor the present and I can predict the future based on the patterns we've seen in the past so that's the stakeholders knowing the future State a really good example would be the future state today is we're going to miss these three shipments and we're not going to meet plan on four of these assets right and that's based on real-time data like based on our current that's what's going to happen we're going to use linear regression to predict the future and we're going to miss so we can decide what to intervene another way future state of the business would be predicting failure uh this bearing you know we have a downtime a planned downtime 7 days from now we have we're predicting a bearing failure 72 hours out we know that we are 96% certain we're going to have a bearing failure 72 hours from now do we just wait until it cataclysmic Falls and lose all the money that when it fails or do we plan to intervene beforehand and optimize that downtime right um we'll leverage ml to collect and analyze data we predict the future AI recommends operational adjustments stakeholders execute that's I mean that's meat and potatoes that's digital transformation that's what a digital Factory does does the a digital business automates the business processes from that infrastructure and then they plug into a digital supply chain and so now instead of just manually talking to the links upstream and downstream for myself I'm connected to into an infrastructure where my entire the my entire supply chain is digital we can communicate in real time I can mon I can monitor your data and you can monitor mine the stuff that we agree to share with one another and um I'm also connected not just to my suppliers and customers but all my potential suppliers and potential customers all right so when we score a manufacturer on digital maturity we're doing it on these 10 pillars right so right now there's 1,400 manufacturers in our data set okay we've scored them across 10 industry four pillars operations it engineering quality leadership infrastructure platform network connectivity and strategy uh a uh that's they're all scored on a scale of 1 to five okay so if you look at the the industry averages so of the 14400 the average score in operations is 2.92 so what that means is that the average manufacturer doesn't even meet the three here and that three It's probably hard to see but basically three says they have scada in some places they have some real-time data perhaps they have a partly digital manufacturing execution system where PR primarily focused on that L2 L3 layer to gauge how operations operates okay from an L2 which is a skate layer L3 later which is Mees how much of that is in real time digitally okay the average is less than that three okay in it the average score is a 2.8 that means the average manufacturer is Falls somewhere between saying no first to any digital solution they're security and compliance only in fact they're not a service organization what's that at all that's a one or they're at least partly a service organization and support takes time but it does happen the average company Falls in between those two descriptions okay we also score them across engineering quality leadership infrastructure platform network connectivity and strategy I want to point out two things the only two categories or the only three categories where manufacturers are above a three that is that middle number okay on a scale of one to five are leadership and infrastructure and their networks so leadership that means they're above when it comes to leadership they are above this description the average manufacturer is it has a vision that that is greater than just capture value with iot but they don't have a strategy right so they fall they fall somewhere between actually they're just above this 3.01 most are saying capture value with iot but I don't have a digital strategy an elite organization someone like Tesla or Amazon they have a clear concise digital strategy that focuses on creating the employee the future by enabling employees to unlock potential on the plant floor using real-time data and information infrastructure is the second uh pillar where the average manufacturer is above a three and three is is going to is dead nuts in the middle okay so the average manufacturer has an infrastructure that a whole infrastructure that exists with a standard Purdue security model with a DMZ in place but the the future goal is a secure infrastructure that leverages virtual ethernet networks virtual machines containers and an edge user-driven deployment strategy so that is citizen developers and resources 100% network coverage for all people places and smart things the average manufacturer is in that Legacy industry 3 they got Standard Produce security model um DMZ in place and then Network the average manufacturer has Network infrastructure in place to become digital one of the lowest performing pillars is platform form okay so if you look the lowest scoring category for the average manufacturer is quality okay but the second lowest of the 10 is platform so a one if a manufacturer gets scored a one it means they have no iot platform whatsoever if there are three they are solution centered so they they they went to Microsoft and they said be our platform they went to Amazon web services or they went to rock or they went to osip or whatever and they said be our platform they thought that a solution they could buy off the shelf could be their iot platform here is where the most advanced companies are in an iot platform it's an iot platform that is open it's EDG driven it's report by exception it's crossplatform and scalable and it works for both digital thread and technology-driven stacks concurrently it is not solution Centric what does that mean what it means is is that the the iot platform that you create is not dependent on any one vendor that doesn't mean that vendors aren't a subset of your platform okay the platform is the is the thing upon which you stand in order to digitally transform okay all right so that that that's some context when we're judging platforms okay all right let's take a look at just the the journey okay a manufacturer when they're digitally transforming when they're going from those low scores in that across these pillars they want to bring these up when they're going from low scores to high scores they are digitally transforming they're trying to get to this Holy Grail there are some rules about digital transformation I'm giving you all this background because it's important when I show you how we're judging an iot platform I I own companies that do this okay I assure you the analysts at Gartner who are selecting iot platforms don't have the faintest idea what digital transformation actually is okay yet executives are trusting their judgment okay so show this video to Executives and then argue the debate the the the the pieces okay so some important things about digital transformation it's a strategy it's not a project okay what is that mean it's a strategy for making day the primary commodity in your business number two it transforms the way a manufacturer operates their business so instead of just focusing on the um instead of just focusing on function we focus on taking the data that we generate around our business and converting that into value to automate decision making okay um as opposed to the way manufactur operate today is they primarily fight fires and react to problems and through sheer force of will and Brute Force they hit their goals but the goals that they set are arbitrary they're based on how how best we've performed in the past not theoretically how best how how should we perform if we're operating optimal and that you have to use you have to do digitally you have to set your goals by analyzing data okay and digital transformation starts with admitting there's a problem people who are going to Gartner for guidance probably know there's a problem but aren't fluent enough to understand that Gartner is the last person who can tell you how to solve it all right and then this is what digital transformation looks like and guess guess I'll tell you how this works first thing you do is you inventory the business and that starts with the scoring okay you inventory the intelligence that goes let's take a look at the structure of the business what and you know what is all what are all the smart things we have in this business and how do we abstract them how do we group them Etc we connect that intelligence to the network we integrate into a unified namespace or into an architecture unified namespace is another is an architecture that is another word for single source of Truth semantically organized all the events in the business we present information we learn from new knowledge and then we expand our unified namespace and iterate solve problems on top of one another well guess gu what your platform is the thing that you do this in your iot platform is what you do all these steps in okay so what does it need to do okay because this is what digital transformation is this is the mechanics so when when manufacturers or industry are becoming Digital Data companies they they they become a digital business they to get to this Holy Grail in two big steps okay step number one is becoming a smart business and it generally takes about five years 3 to five years okay and that is a process of connecting collecting storing analyzing visualizing data guess what you do what you use to do this connect collect store analyze visualize you use your iot platform use an iot platform if you if you want an optimal digital strategy you are going to connect collect store analyze and visualize using an i iot platform an industrial Internet of Things platform okay your use case has fallen here when we talk about unified namespace functional names spaces descriptive or definitional Nam spaces either or or informational Nam spaces we're doing this stuff okay once this piece is big enough now what we do is we use machine learning and artificial intelligence to find patterns predict problems report those problems and solve those problems digitally this journey all of this is done in an iot platform okay now a platform isn't again a platform isn't a isn't a piece of software it is it can start out like for example so many people are using ignition by inductive automation to start here and then add this on and then they'll bolt on some other things they'll add in highby here so to start doing the analysis which is the data operations of the data and then they use hibby again to remodel the data from the unified namespace to be consumed by an ANL ml model okay um and then they might bolt flow software on there with the unified analytics framework to do this analysis and what ends up happening is that becomes the platform in a stack so an iiot platform is can be a piece of software at a certain part of the journey but it becomes a stack of solutions over the long term and then what is it manufacturers do after that well the big step is now once I've done this piece the three to the three to five years now what I do is I plug into a digital supply chain and a really good example is we have three clients one is a chemical company that makes pigments we got one that's a printer and one that buys the packaging from the printer that they print on all three of them are using a unified name space architecture all three of them are our clients and we basically in 10 minutes we just went to all three customers and said what data do you guys want to share between one another and we just literally published for example from the chemical manufacturer wanted to be able to monitor what pigments they're using in what ink on what products they're running and they wanted the relative humidity the environmental information they wanted the tunnel temperatures on the on the printing press they wanted something else we published that into an mqtt broker and that that company Chemical Company can subscribe to and they publish and then they store that data in their own warehouse and then they use it when they are evaluating the quality of their pigments when they're trying to make when they're when their chemical Engineers are trying to decide how to modify their pigments so that they're more robust under industrial um conditions they're using that data the the soda water manufacturer who wanted you know they what they cared about from the printer was we want we want to move to ajust in time supply chain model and we want to know in real time the current update of our work order from from when they order materials to when they print it to when they laminate when they slit when they bag it whatever they do to when they ship it to where that truck is to before it gets to the the back door so that they can take the rolls off and go straight to the production line and they don't have to put it in a warehouse okay some important parts about what digital transformation is and I want to talk about this employee of the Future Part the iot platform is something that enables the employee of the future so digital companies are they want to create an organization made up of the employee of the future and so those the employee of the future are technologists who are unable to solve their own problems so this is going to be there has to be a low code no code element to your iot platform okay there has to be there has to be a Advanced customizable features there has to be um that is if if I'm an advanced developer I must have the ability to build my own ad hoc Solutions but on top of that platform okay but the employee of the future is a technologist who's enabled to solve their problems and they use the iot platform to do that okay in the first major step of digital transformation organizations are focused on unlocking potential on the plat uh on the plant floor through people and they use the iot platform to do that okay and then I have this whole host of steps to digital transformation important Concepts okay but I wanted to go over an iot platform an iot platform is a is a platform that makes it possible to unify the data across all of these various smart elements in your business and unlock value okay okay so an iot platform is something that falls sort of like parallel here okay and that platform basically and we we recreated it here where we have a stack of solutions that's Hive mq is our mqtt broker we're using CFA we are using highby intelligence Hub we have some custom java.net and python that's running in a cloud environment and then we have ignition running in inside this element here um or running parallel to this element here it's actually the platform on this side that is our iot platform but ignition is what we would Define as the platform itself when we first get started okay that's that is what a an iot platform actually is so what does an iot platform have to be able to do okay functionally an iot platform must be able to integrate at all layers of the stack Okay so L1 L2 L3 L4 L5 so PLC HMI scada Mees Erp and cloud and iot platform must be able to integrate at all layers of the stack whether that's one piece of software or whether it's many okay number two it must support citizen developers number three it must connect collect store analyze visualize find patterns predict report and solve okay um an iot platform must support shorttime to value and scalable Solutions it must it must support iterative Agile development but the industrial Internet of Things platform is a is a thing that essentially if you were to take the stack the automation stack the iot platform is a thing that you can bolt onto the side of the entire stack and you can connect store analyze visualize find patterns predict report and solve that's an iot platform and often times it start out starts out as a single piece of software you know it's well it's really two it's you know oftentimes it's ignition with SQL Server my SQL or postgress and then we add in additional Solutions later highb intelligence Hub um hi mq or em QX litmus automation flow software Factory Studio you know there's it's you know is does Rockwell have an iot platform Rockwell does but you would you would talk you would Define that really as like the factory talk Suite of solutions is an iot platform do we use Factory talk as the iot platform of course not because a it's too expensive B the time to value is really long see the total cost of ownership over a long period of time is very high because it's able to functionally do those things doesn't mean do do just because it functionally meets the requirements doesn't mean we select it because there are other considerations like time devalue total cost of ownership access licensing model I'm going to get into a whole host of other things about when we're judging these iot Platforms in our tier I'm going to do a tier um video basically is how I'm going to do it the we're weighing we're weighing a series of criteria and one of those is the licensing model does it support land and expand does it support proving value without spending money on licensing and and if the an if the answer is absolutely yes you get all maximum points on that on that set okay all right so with that that is part one of what is an iot platform form that we're I'm going to do this tiered video next and I'll we'll publish that tomorrow or later in the week the two videos go together and they follow the podcast where I'm taking down the gardener magic quadrant again why is this important okay this video right here is a educational video that you should be putting in the hands of Executives you should be putting in the hands you should be sharing this far and wide this is the foundational video as to what digital transformation actually is what an iot platform actually is what is it manufacturers are actually trying to achieve and how is it I'm going to judge the platforms that I'm going to be ranking in the video later this week all right with that like subscribe comment down below let me know what you thought of this what I missed what you'd like to see me comment on and I'll see you in the next one

the top iot Platforms in the world take zero all right so this is part one of a two-part video series that will include a LinkedIn article post Gardner magic quadrant came out um in April for their Global iot platforms list and obviously it was garbage uh I did a whole podcast with Zach last week that link will be in the description or I I just do a takedown on it in this video what I&#39;m going to do is I&#39;m going to Define what a platform is I&#39;m actually to go through a whole bunch of stuff to kind of lay the framework like what the selection criteria is for the iot platforms that we&#39;re putting in our our top tier list we&#39;ll probably do it um we won&#39;t do it as a quadrant because I don&#39;t know I&#39;m I&#39;m sure Gartner trademark did or whatever so we we&#39;ll just do it as a tier list um of iot platforms I&#39;m going to kind of lay out what an iot platform is in this video interesting you know why are we doing this the reason we&#39;re doing it is because manufacturing Executives need to stop listening to Gardner they need to stop listening to Forester they need to stop listening they need to stop listening to the to the firms whose business model is designed to get both the vendor and the customer to pay them money to put each other together because the reason that&#39;s flawed is number one Gartner in their magic quadrant that you look here Gartner doesn&#39;t say uh they don&#39;t qualify what they put in the quad okay they don&#39;t say the fact that it listen if if a vendor is not a customer of ours then they&#39;re not going to rank highly here okay they don&#39;t point out that being on the quadrant is pay for play that doesn&#39;t mean that people pay for their spot on the quadrant but rest assured the more money you give Gartner the better Gartner markets you in their products okay like the magic quadrant which is a product it&#39;s not a report that the analysts I&#39;d love any of the analysts that put together the magic quadrant if I put together a quadrant okay if I put together a tier list of the best iot Platforms in the world bet your ass I&#39;m going to be able to defend it if somebody comes on and says come comes out and does a public video and goes I think this is garbage hey Walker I want you to come on my podcast and defend it I&#39;m going to be there okay nobody from Gardner is going to come on here and defend this what&#39;s amazing to me is that anyone in that people in the market actually listen to them and the reason I have to come and shoot this video the reason other people have to speak up guys like Rick Bala and those of us who are not going to get hurt by Gartner financially is because they are misleading people are they doing it intentionally probably not they probably believe I&#39;ll bet you those analysts believe they know the rules that they&#39;re only putting people who pay Gartner on there but I&#39;ll bet you they believe that they were that they were mostly fair in this quadrant I believe I bet you believe they believe that but that quadrant that I&#39;m this quadrant right here is garbage it is it is not I mean there are there&#39;s on here it&#39;s not even platform ex like for example Eurotech is not a PL platform root cloud is not an iot platform loan cognite they are brain Cube I wouldn&#39;t call an iot platform PTC is more of a Enterprise class dashboarding tool could it be a platform could P thing works be a platform if you couple it together with like say osip Pi maybe you know probably you could get away with it Seamans has a platform universe is not a platform Microsoft&#39;s a company they just blew their P platform up last year so I mean half the stuff on here is not a platform okay but this is garbage I mean this is absolute garbage and the reason I got to shoot a video on it is because there&#39;s people who listen to Gardner there are Executives who listen to Gartner and they steer their organizations in the wrong direction and by the way there&#39;s nothing I&#39;m saying here I can&#39;t defend if someone from Gartner wants to come on and defend their argument I&#39;m I&#39;m all yours all right let&#39;s let&#39;s go over where my position comes from all right so when we score a manufacturer on digital maturity so when we look at a manufacturer and we go hey they want to achieve the Holy Grail of manufacturing right the Holy Grail of manufacturing is they want to become a fully integrated business made up of digital factories but what does that mean it means that everything and everyone&#39;s plugged into a network the layers of the business are integrated and operate Based on data and information from all the other layers in real time so a really good example would be the quality management system isn&#39;t transactional it isn&#39;t interval it is just natively it&#39;s just plugged into the process events that are happening process and business events that are happening all across the organization so I don&#39;t have someone taking a sample definition and a sample sheet and walking out to take a quality sample they are we&#39;re driving an event into the lab that is automatically collecting the data for that sample and Reporting it directly into the lab that is the layers of the business being integrated and operating Based on data and information from all the other layers and time another really good example would be like recipe management the genealogy of recipe management is natively integrated so if I&#39;m a process engineer and I develop a specific recipe for a process and the operator who downloads my recipe into the control Hardware to operate the machine but then they got to tweak it they&#39;ve got to make changes to the set points that are in the the recipe the way that those variances there&#39;s generally tolerances in that recipe if I say the set point on this drive needs to be 31 Hertz on for running this product um I&#39;m allowed to adjust it up or down two Herz I can go up to 33 or down to 29 and the operator discovers that they&#39;ve got to go outside of that range an organization that is natively integrated and operating Based on data information in real time is if the operator goes outside of that range there we are requiring the operator to give a reason and that&#39;s being reported directly to the process engineer in real time that that happens so that they can incorporate that they can either do an investigation and they can incorporate that into an updated recipe for that product okay stakeholders know the state of the business in real time if we know the state where are we relative to plan what is my current state in my domain if I know my current state and I store it then I can leverage machine learning I can start looking at the past learning from the past monitor the present and I can predict the future based on the patterns we&#39;ve seen in the past so that&#39;s the stakeholders knowing the future State a really good example would be the future state today is we&#39;re going to miss these three shipments and we&#39;re not going to meet plan on four of these assets right and that&#39;s based on real-time data like based on our current that&#39;s what&#39;s going to happen we&#39;re going to use linear regression to predict the future and we&#39;re going to miss so we can decide what to intervene another way future state of the business would be predicting failure uh this bearing you know we have a downtime a planned downtime 7 days from now we have we&#39;re predicting a bearing failure 72 hours out we know that we are 96% certain we&#39;re going to have a bearing failure 72 hours from now do we just wait until it cataclysmic Falls and lose all the money that when it fails or do we plan to intervene beforehand and optimize that downtime right um we&#39;ll leverage ml to collect and analyze data we predict the future AI recommends operational adjustments stakeholders execute that&#39;s I mean that&#39;s meat and potatoes that&#39;s digital transformation that&#39;s what a digital Factory does does the a digital business automates the business processes from that infrastructure and then they plug into a digital supply chain and so now instead of just manually talking to the links upstream and downstream for myself I&#39;m connected to into an infrastructure where my entire the my entire supply chain is digital we can communicate in real time I can mon I can monitor your data and you can monitor mine the stuff that we agree to share with one another and um I&#39;m also connected not just to my suppliers and customers but all my potential suppliers and potential customers all right so when we score a manufacturer on digital maturity we&#39;re doing it on these 10 pillars right so right now there&#39;s 1,400 manufacturers in our data set okay we&#39;ve scored them across 10 industry four pillars operations it engineering quality leadership infrastructure platform network connectivity and strategy uh a uh that&#39;s they&#39;re all scored on a scale of 1 to five okay so if you look at the the industry averages so of the 14400 the average score in operations is 2.92 so what that means is that the average manufacturer doesn&#39;t even meet the three here and that three It&#39;s probably hard to see but basically three says they have scada in some places they have some real-time data perhaps they have a partly digital manufacturing execution system where PR primarily focused on that L2 L3 layer to gauge how operations operates okay from an L2 which is a skate layer L3 later which is Mees how much of that is in real time digitally okay the average is less than that three okay in it the average score is a 2.8 that means the average manufacturer is Falls somewhere between saying no first to any digital solution they&#39;re security and compliance only in fact they&#39;re not a service organization what&#39;s that at all that&#39;s a one or they&#39;re at least partly a service organization and support takes time but it does happen the average company Falls in between those two descriptions okay we also score them across engineering quality leadership infrastructure platform network connectivity and strategy I want to point out two things the only two categories or the only three categories where manufacturers are above a three that is that middle number okay on a scale of one to five are leadership and infrastructure and their networks so leadership that means they&#39;re above when it comes to leadership they are above this description the average manufacturer is it has a vision that that is greater than just capture value with iot but they don&#39;t have a strategy right so they fall they fall somewhere between actually they&#39;re just above this 3.01 most are saying capture value with iot but I don&#39;t have a digital strategy an elite organization someone like Tesla or Amazon they have a clear concise digital strategy that focuses on creating the employee the future by enabling employees to unlock potential on the plant floor using real-time data and information infrastructure is the second uh pillar where the average manufacturer is above a three and three is is going to is dead nuts in the middle okay so the average manufacturer has an infrastructure that a whole infrastructure that exists with a standard Purdue security model with a DMZ in place but the the future goal is a secure infrastructure that leverages virtual ethernet networks virtual machines containers and an edge user-driven deployment strategy so that is citizen developers and resources 100% network coverage for all people places and smart things the average manufacturer is in that Legacy industry 3 they got Standard Produce security model um DMZ in place and then Network the average manufacturer has Network infrastructure in place to become digital one of the lowest performing pillars is platform form okay so if you look the lowest scoring category for the average manufacturer is quality okay but the second lowest of the 10 is platform so a one if a manufacturer gets scored a one it means they have no iot platform whatsoever if there are three they are solution centered so they they they went to Microsoft and they said be our platform they went to Amazon web services or they went to rock or they went to osip or whatever and they said be our platform they thought that a solution they could buy off the shelf could be their iot platform here is where the most advanced companies are in an iot platform it&#39;s an iot platform that is open it&#39;s EDG driven it&#39;s report by exception it&#39;s crossplatform and scalable and it works for both digital thread and technology-driven stacks concurrently it is not solution Centric what does that mean what it means is is that the the iot platform that you create is not dependent on any one vendor that doesn&#39;t mean that vendors aren&#39;t a subset of your platform okay the platform is the is the thing upon which you stand in order to digitally transform okay all right so that that that&#39;s some context when we&#39;re judging platforms okay all right let&#39;s take a look at just the the journey okay a manufacturer when they&#39;re digitally transforming when they&#39;re going from those low scores in that across these pillars they want to bring these up when they&#39;re going from low scores to high scores they are digitally transforming they&#39;re trying to get to this Holy Grail there are some rules about digital transformation I&#39;m giving you all this background because it&#39;s important when I show you how we&#39;re judging an iot platform I I own companies that do this okay I assure you the analysts at Gartner who are selecting iot platforms don&#39;t have the faintest idea what digital transformation actually is okay yet executives are trusting their judgment okay so show this video to Executives and then argue the debate the the the the pieces okay so some important things about digital transformation it&#39;s a strategy it&#39;s not a project okay what is that mean it&#39;s a strategy for making day the primary commodity in your business number two it transforms the way a manufacturer operates their business so instead of just focusing on the um instead of just focusing on function we focus on taking the data that we generate around our business and converting that into value to automate decision making okay um as opposed to the way manufactur operate today is they primarily fight fires and react to problems and through sheer force of will and Brute Force they hit their goals but the goals that they set are arbitrary they&#39;re based on how how best we&#39;ve performed in the past not theoretically how best how how should we perform if we&#39;re operating optimal and that you have to use you have to do digitally you have to set your goals by analyzing data okay and digital transformation starts with admitting there&#39;s a problem people who are going to Gartner for guidance probably know there&#39;s a problem but aren&#39;t fluent enough to understand that Gartner is the last person who can tell you how to solve it all right and then this is what digital transformation looks like and guess guess I&#39;ll tell you how this works first thing you do is you inventory the business and that starts with the scoring okay you inventory the intelligence that goes let&#39;s take a look at the structure of the business what and you know what is all what are all the smart things we have in this business and how do we abstract them how do we group them Etc we connect that intelligence to the network we integrate into a unified namespace or into an architecture unified namespace is another is an architecture that is another word for single source of Truth semantically organized all the events in the business we present information we learn from new knowledge and then we expand our unified namespace and iterate solve problems on top of one another well guess gu what your platform is the thing that you do this in your iot platform is what you do all these steps in okay so what does it need to do okay because this is what digital transformation is this is the mechanics so when when manufacturers or industry are becoming Digital Data companies they they they become a digital business they to get to this Holy Grail in two big steps okay step number one is becoming a smart business and it generally takes about five years 3 to five years okay and that is a process of connecting collecting storing analyzing visualizing data guess what you do what you use to do this connect collect store analyze visualize you use your iot platform use an iot platform if you if you want an optimal digital strategy you are going to connect collect store analyze and visualize using an i iot platform an industrial Internet of Things platform okay your use case has fallen here when we talk about unified namespace functional names spaces descriptive or definitional Nam spaces either or or informational Nam spaces we&#39;re doing this stuff okay once this piece is big enough now what we do is we use machine learning and artificial intelligence to find patterns predict problems report those problems and solve those problems digitally this journey all of this is done in an iot platform okay now a platform isn&#39;t again a platform isn&#39;t a isn&#39;t a piece of software it is it can start out like for example so many people are using ignition by inductive automation to start here and then add this on and then they&#39;ll bolt on some other things they&#39;ll add in highby here so to start doing the analysis which is the data operations of the data and then they use hibby again to remodel the data from the unified namespace to be consumed by an ANL ml model okay um and then they might bolt flow software on there with the unified analytics framework to do this analysis and what ends up happening is that becomes the platform in a stack so an iiot platform is can be a piece of software at a certain part of the journey but it becomes a stack of solutions over the long term and then what is it manufacturers do after that well the big step is now once I&#39;ve done this piece the three to the three to five years now what I do is I plug into a digital supply chain and a really good example is we have three clients one is a chemical company that makes pigments we got one that&#39;s a printer and one that buys the packaging from the printer that they print on all three of them are using a unified name space architecture all three of them are our clients and we basically in 10 minutes we just went to all three customers and said what data do you guys want to share between one another and we just literally published for example from the chemical manufacturer wanted to be able to monitor what pigments they&#39;re using in what ink on what products they&#39;re running and they wanted the relative humidity the environmental information they wanted the tunnel temperatures on the on the printing press they wanted something else we published that into an mqtt broker and that that company Chemical Company can subscribe to and they publish and then they store that data in their own warehouse and then they use it when they are evaluating the quality of their pigments when they&#39;re trying to make when they&#39;re when their chemical Engineers are trying to decide how to modify their pigments so that they&#39;re more robust under industrial um conditions they&#39;re using that data the the soda water manufacturer who wanted you know they what they cared about from the printer was we want we want to move to ajust in time supply chain model and we want to know in real time the current update of our work order from from when they order materials to when they print it to when they laminate when they slit when they bag it whatever they do to when they ship it to where that truck is to before it gets to the the back door so that they can take the rolls off and go straight to the production line and they don&#39;t have to put it in a warehouse okay some important parts about what digital transformation is and I want to talk about this employee of the Future Part the iot platform is something that enables the employee of the future so digital companies are they want to create an organization made up of the employee of the future and so those the employee of the future are technologists who are unable to solve their own problems so this is going to be there has to be a low code no code element to your iot platform okay there has to be there has to be a Advanced customizable features there has to be um that is if if I&#39;m an advanced developer I must have the ability to build my own ad hoc Solutions but on top of that platform okay but the employee of the future is a technologist who&#39;s enabled to solve their problems and they use the iot platform to do that okay in the first major step of digital transformation organizations are focused on unlocking potential on the plat uh on the plant floor through people and they use the iot platform to do that okay and then I have this whole host of steps to digital transformation important Concepts okay but I wanted to go over an iot platform an iot platform is a is a platform that makes it possible to unify the data across all of these various smart elements in your business and unlock value okay okay so an iot platform is something that falls sort of like parallel here okay and that platform basically and we we recreated it here where we have a stack of solutions that&#39;s Hive mq is our mqtt broker we&#39;re using CFA we are using highby intelligence Hub we have some custom java.net and python that&#39;s running in a cloud environment and then we have ignition running in inside this element here um or running parallel to this element here it&#39;s actually the platform on this side that is our iot platform but ignition is what we would Define as the platform itself when we first get started okay that&#39;s that is what a an iot platform actually is so what does an iot platform have to be able to do okay functionally an iot platform must be able to integrate at all layers of the stack Okay so L1 L2 L3 L4 L5 so PLC HMI scada Mees Erp and cloud and iot platform must be able to integrate at all layers of the stack whether that&#39;s one piece of software or whether it&#39;s many okay number two it must support citizen developers number three it must connect collect store analyze visualize find patterns predict report and solve okay um an iot platform must support shorttime to value and scalable Solutions it must it must support iterative Agile development but the industrial Internet of Things platform is a is a thing that essentially if you were to take the stack the automation stack the iot platform is a thing that you can bolt onto the side of the entire stack and you can connect store analyze visualize find patterns predict report and solve that&#39;s an iot platform and often times it start out starts out as a single piece of software you know it&#39;s well it&#39;s really two it&#39;s you know oftentimes it&#39;s ignition with SQL Server my SQL or postgress and then we add in additional Solutions later highb intelligence Hub um hi mq or em QX litmus automation flow software Factory Studio you know there&#39;s it&#39;s you know is does Rockwell have an iot platform Rockwell does but you would you would talk you would Define that really as like the factory talk Suite of solutions is an iot platform do we use Factory talk as the iot platform of course not because a it&#39;s too expensive B the time to value is really long see the total cost of ownership over a long period of time is very high because it&#39;s able to functionally do those things doesn&#39;t mean do do just because it functionally meets the requirements doesn&#39;t mean we select it because there are other considerations like time devalue total cost of ownership access licensing model I&#39;m going to get into a whole host of other things about when we&#39;re judging these iot Platforms in our tier I&#39;m going to do a tier um video basically is how I&#39;m going to do it the we&#39;re weighing we&#39;re weighing a series of criteria and one of those is the licensing model does it support land and expand does it support proving value without spending money on licensing and and if the an if the answer is absolutely yes you get all maximum points on that on that set okay all right so with that that is part one of what is an iot platform form that we&#39;re I&#39;m going to do this tiered video next and I&#39;ll we&#39;ll publish that tomorrow or later in the week the two videos go together and they follow the podcast where I&#39;m taking down the gardener magic quadrant again why is this important okay this video right here is a educational video that you should be putting in the hands of Executives you should be putting in the hands you should be sharing this far and wide this is the foundational video as to what digital transformation actually is what an iot platform actually is what is it manufacturers are actually trying to achieve and how is it I&#39;m going to judge the platforms that I&#39;m going to be ranking in the video later this week all right with that like subscribe comment down below let me know what you thought of this what I missed what you&#39;d like to see me comment on and I&#39;ll see you in the next one

Transcript for:Top IoT Platforms - Part 1 Overview

Transcript for:
Top IoT Platforms - Part 1 Overview