Hi, great discussion on iOT from IT perspective. Maybe you can elaborate on IoT solutions already up and running for years. The IT infrastructure described here, does not functionally support the needs of engineers in the field. They seek for tool helping them to adress their functional requirements.
Really useful. Thanks. I think that answers a question I had about about an OSIsoft Cloud Services case study I'd seen that brought data from substations up to a cloud PI server, but the customer wasn't easily able to create automated maint. work orders from the cloud analytics. I believe OSI cloud services are on the Azure platform.
Really enjoyed the video. Your focus on Cloud Architecture comparison and contrast between providers was very powerful. I was unaware of Digital threads and how they differ from cloud Architecture until now, thanks. The discussion of 4.0 architecture is a foundation upon which we build our strategy. Keep preaching the good word.
Hi Sheryl, just curious what kind use case you have that requires data back down to edge? Also, technically you can get data back in Azure IoT if need to. Also, Azure allows you to run Stream Analayzer on the Edge itself.
@@georgezviadgoglodze7810 Hi George, I was thinking of any use case that involves providing near-RT decision support for machine operators or engineers for process innovation, uses that require combining/ modeling machine and sensor data with predictive ML results and Enterprise-level data (could be all sorts of things...current manufacturing capacity, materials availability). To automate the use of data for operational improvements requires meaningful context. Sending the modeled data back to the plant floor via a unified name space adds that context in a feedback loop.
Hi Walker, I have this question, (btw - awesome video and presentation, really cool!) when does a project need to think about implementing an MQTT broker (like HiveMQ, EMQ-X, or other brokers) and replacing the Azure or AWS native embedded brokers?
Im new to all this information ! I don't understand much of it but I want to learn and if you're given your time I'm going to listen . Thank you for sharing !!!
The clouds, PaaS specifically do they really support Industrial IoT requirements fully yet or we are just trying to force fit industrial iot into a consumer IoT and make the machines somehow connected !!!
The answer is yes in some cases but mostly no. AWS Sitewise is definitely hardened for industry... but that is really where it ends IMO. AWS and Azure are part of an IIoT infrastructure... but they definitely are NOT the infrastructure.
Note that AMQP was not created by Microsoft. This is how they define it on their website: "AMQP 1.0 is the result of broad industry collaboration that brought together middleware vendors, such as Microsoft and Red Hat, with many messaging middleware users such as JP Morgan Chase". The later one being the original inventor.
Generic question. when it comes for data analytics solution is it good idea to mix AWS services with MS? or whats the most common recommended approach for data sensitive platiform
This is a great question... it is possible to mix and match but isnt generally recommended because of the advantage of native connectors and the engineering lift required.
Hello, thanks for the video. Really good explanation. You have compared AWS and Azure, I was thinking if there any other competitors besides these two. In particular I would like to understand role if Thinxworks in this? Can it be compared, if yes where it stands against AWS and Azure?
No. It means that Azure will be more expensive even if you use all of their recommended solutions and partners... yet you still would not have the same capabilities as an open platform leveraging UNS + AWS.
@@4.0Solutions Thank you! Can you share a bit on the advantage of Azure/PTC alliance vs. the open platform? Since my organization is choosing the PTC solution, I would like to understand better..
You are 'threading' a single object all the way to the cloud. Think of it like a point to point integration. There is no consideration to new infrastructure... you would have to rip the thread to tie something new in... not scalalble.
Hi, great discussion on iOT from IT perspective. Maybe you can elaborate on IoT solutions already up and running for years. The IT infrastructure described here, does not functionally support the needs of engineers in the field. They seek for tool helping them to adress their functional requirements.
Really useful. Thanks. I think that answers a question I had about about an OSIsoft Cloud Services case study I'd seen that brought data from substations up to a cloud PI server, but the customer wasn't easily able to create automated maint. work orders from the cloud analytics. I believe OSI cloud services are on the Azure platform.
Thank you Sheryl! 💯 We are lucky to have you as a member of the community!
Really enjoyed the video. Your focus on Cloud Architecture comparison and contrast between providers was very powerful. I was unaware of Digital threads and how they differ from cloud Architecture until now, thanks. The discussion of 4.0 architecture is a foundation upon which we build our strategy. Keep preaching the good word.
Thank you Dwayne!
Glad it was helpful!
"With AWS, we have a mechanism for getting that data back down to the plant floor thru the unified name space." And that's the whole point.
Hi Sheryl, just curious what kind use case you have that requires data back down to edge? Also, technically you can get data back in Azure IoT if need to. Also, Azure allows you to run Stream Analayzer on the Edge itself.
@@georgezviadgoglodze7810 Hi George, I was thinking of any use case that involves providing near-RT decision support for machine operators or engineers for process innovation, uses that require combining/ modeling machine and sensor data with predictive ML results and Enterprise-level data (could be all sorts of things...current manufacturing capacity, materials availability). To automate the use of data for operational improvements requires meaningful context. Sending the modeled data back to the plant floor via a unified name space adds that context in a feedback loop.
@@sherylmccrary9045 im still not clear with these iiot thing and how to train the data with ML
@@chickenz4604 Walker did a series of 3 videos on this that are a good place to start. ua-cam.com/video/tDrSndk6l18/v-deo.html
Thanks Sheryl!
Hi Walker, I have this question, (btw - awesome video and presentation, really cool!) when does a project need to think about implementing an MQTT broker (like HiveMQ, EMQ-X, or other brokers) and replacing the Azure or AWS native embedded brokers?
I'd like to know where Azure's Device Provisioning Service (DPS) ranks in terms of making it more flexible than it was
Im new to all this information ! I don't understand much of it but I want to learn and if you're given your time I'm going to listen . Thank you for sharing !!!
Thank you for joining! We recommend going through the IIoT Mini-Course for free! www.intellic.online/iiot-mini-course
𝗥𝗲𝗮𝗱 𝘁𝗼 𝘀𝘁𝗮𝗿𝘁 𝘁𝗵𝗲 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀❓
Book a discovery call with our team 👉 www.iiot.unviersity/book-a-call
Doesn't the OSIsoft PI system acheive a unified namespace? Why not just that on the cloud and have pi connectors be on the edge?
The clouds, PaaS specifically do they really support Industrial IoT requirements fully yet or we are just trying to force fit industrial iot into a consumer IoT and make the machines somehow connected !!!
The answer is yes in some cases but mostly no. AWS Sitewise is definitely hardened for industry... but that is really where it ends IMO. AWS and Azure are part of an IIoT infrastructure... but they definitely are NOT the infrastructure.
Sounds good. Didn't understand a word of it, but let me check out a jargon dictionary and I'll try again. Good job 👍
Thank you!!!
Video editing skills visibly improving.
I try!
Are you guys on the "meetup" platform and do webinars/talks
We do webinar events about 1-2 times a quarter. We mostly do them online and market them on LinkedIn
Note that AMQP was not created by Microsoft. This is how they define it on their website: "AMQP 1.0 is the result of broad industry collaboration that brought together middleware vendors, such as Microsoft and Red Hat, with many messaging middleware users such as JP Morgan Chase". The later one being the original inventor.
Generic question. when it comes for data analytics solution is it good idea to mix AWS services with MS? or whats the most common recommended approach for data sensitive platiform
This is a great question... it is possible to mix and match but isnt generally recommended because of the advantage of native connectors and the engineering lift required.
You are on top of it Walker! 💯
In a scale from 1 to 5, you ranked Azure 3, what about AWS?
4.5, They facilitate industrial customers and don't restrict data use.
what kind of skills that i need to understand IIOT
Great question! Have you gone through the IIoT Mini-Course yet? www.iiot.university/iiot-mini-course
@@4.0Solutions The link does not work.
@@KHADIM98 try now!
Hello, thanks for the video. Really good explanation. You have compared AWS and Azure, I was thinking if there any other competitors besides these two. In particular I would like to understand role if Thinxworks in this? Can it be compared, if yes where it stands against AWS and Azure?
Great question! I added this to Discord!
@@4.0Solutions sorry I am confused about the Discord, can you please elaborate?
@@oliverkompas1 It's a communication and community platform. Would love for you to join here www.iiot.university/discord
Does it mean if it is huge scale business that is easily copy paste, Azure is more cost efficient as it is more likely a replicable solution?
No. It means that Azure will be more expensive even if you use all of their recommended solutions and partners... yet you still would not have the same capabilities as an open platform leveraging UNS + AWS.
@@4.0Solutions Thank you! Can you share a bit on the advantage of Azure/PTC alliance vs. the open platform? Since my organization is choosing the PTC solution, I would like to understand better..
What's the rationale behind the name "Digital Thread"?
You are 'threading' a single object all the way to the cloud. Think of it like a point to point integration. There is no consideration to new infrastructure... you would have to rip the thread to tie something new in... not scalalble.
Great sharing. Thanks
Thanks🙏
You’re welcome 😊
Thanks
No problem :)
Cool. Thx. !
Thank you!
So you stopped hunting walter white and now teaches IoT cloud tech? big career change hank