Project Management Central

Please login or join to subscribe to this thread

Topics: Business Intelligence, Innovation, PMO
IIoT (industrial Internet of Things) enabled management
Network:1123



The IIoT provide real-time monitoring capability to AI systems. In short, it's massive system of remote 'smart sensors', managed through cloud computing. There are many vendors (AWS, GE, etc.) already have solutions in the market, which presents used-cases of increased quality, better maintenance and higher return-on-investment.

This appears to be the innovation, which has tremendous potential to reduce wastage by better utilization of resources. Also, an opportunity to impacted stakeholders to gain new knowledge to keep pace with time and transforming themselves for better future.

Please share your understanding /experiences with respect to,
- changed business practices with such implementation
- resistance to change by the impacted stakeholders
- role of 'human values' in this equation...
Sort By:
Network:1818



IIoT and AI is not related. You can use IIoT without AI. IIoT is not related to cloud computing. I was in the side of the table of vendors from 1995 and we made the first proof of concept in 1998 in a join venture with IIBA and Microsoft using the whole US New York City as the scenario. So, the problem is when vendors, with the aim to sell something, they start to create a general misunderstanding outside there. With that said, the second point is: all your points about share understanding are not valid. Let me explain why. Organizations need to understand the whole architecture to implement what you are talking about. After that then next step if to understand if to implement this will solve a business problem (for example, need to transform to be ready for future changes). If the answer is yes then next step is to understand the impacts inside the current architecture, where it does mean to evaluate business, application, technology, security, information layers. Organization architecture is first. And, do not fail, understand the organization from the point of view of systemic theory is a must.
...
1 reply by Ashok Kumar
Dec 27, 2018 4:28 PM
Ashok Kumar
...
Sergio – Thanks for sharing your experience and thoughts on this topic.

This topic is about scenarios of ‘enhanced management capabilities’ by augmenting IIoT with the cloud computing and AI solutions. The state of technology has advanced rapidly and thus opening doors to new possibilities. The present AI and cloud computing technologies complement well to IIoT solutions.

For example, Take a look at AWS offerings, which provide end-to-end solutions (using variety of components in various combinations). You can also find few ‘IIoT Used Cases’ regarding predictive quality analytics, preventive maintenance analytics and asset condition monitoring.

Such new possibilities in technology implementation are making organizations to rethink their existing solutions and evaluate their business approach. The organization architecture /practices are there to support business functions …and can be revamped under strategic move (Netflix as example). The organization’s approach should be to adapt to innovation and avoid onslaught by the competitors.
Network:1123



Dec 27, 2018 11:09 AM
Replying to Sergio Luis Conte
...
IIoT and AI is not related. You can use IIoT without AI. IIoT is not related to cloud computing. I was in the side of the table of vendors from 1995 and we made the first proof of concept in 1998 in a join venture with IIBA and Microsoft using the whole US New York City as the scenario. So, the problem is when vendors, with the aim to sell something, they start to create a general misunderstanding outside there. With that said, the second point is: all your points about share understanding are not valid. Let me explain why. Organizations need to understand the whole architecture to implement what you are talking about. After that then next step if to understand if to implement this will solve a business problem (for example, need to transform to be ready for future changes). If the answer is yes then next step is to understand the impacts inside the current architecture, where it does mean to evaluate business, application, technology, security, information layers. Organization architecture is first. And, do not fail, understand the organization from the point of view of systemic theory is a must.
Sergio – Thanks for sharing your experience and thoughts on this topic.

This topic is about scenarios of ‘enhanced management capabilities’ by augmenting IIoT with the cloud computing and AI solutions. The state of technology has advanced rapidly and thus opening doors to new possibilities. The present AI and cloud computing technologies complement well to IIoT solutions.

For example, Take a look at AWS offerings, which provide end-to-end solutions (using variety of components in various combinations). You can also find few ‘IIoT Used Cases’ regarding predictive quality analytics, preventive maintenance analytics and asset condition monitoring.

Such new possibilities in technology implementation are making organizations to rethink their existing solutions and evaluate their business approach. The organization architecture /practices are there to support business functions …and can be revamped under strategic move (Netflix as example). The organization’s approach should be to adapt to innovation and avoid onslaught by the competitors.
...
1 reply by Sergio Luis Conte
Dec 27, 2018 4:58 PM
Sergio Luis Conte
...
My point is (and because today I am accountable about that in my actual work place) this: there is no reason to use IIoT with AI and cloud and lot of things that some vendors are offering. But if after evaluate your company and what you state as a solution to your company problem then go ahead. You can use those technological items (which are not technological as a matter) in isolation.
Network:249



Digital Twin hit the top list of executive buzz-words in 2017. This involves instrumenting a complex system to monitor what it does real time, developing a model to represent that (the twin), and to enable predictive capability on the model to try and determine how to optimize the system.

What I've noticed is a tendency to approach the problem from a perspective of: Lets measure a bunch of things and figure out a graphical interface to the dashboard, even if all the measures don't tell us anything. A more logical approach is, "Lets figure out the key characteristics to measure so that we can learn how to control them, rather than collect a bunch of data we don't need.
...
1 reply by Ashok Kumar
Dec 28, 2018 5:36 PM
Ashok Kumar
...
Keith - No doubt there has been numerous cases of failed implementation of good and not-so-good ideas.

I'd be interested to learn more about challenges of earlier IIoT implementations (like you mentioned few of them). Thanks for sharing.
Network:1818



Dec 27, 2018 4:28 PM
Replying to Ashok Kumar
...
Sergio – Thanks for sharing your experience and thoughts on this topic.

This topic is about scenarios of ‘enhanced management capabilities’ by augmenting IIoT with the cloud computing and AI solutions. The state of technology has advanced rapidly and thus opening doors to new possibilities. The present AI and cloud computing technologies complement well to IIoT solutions.

For example, Take a look at AWS offerings, which provide end-to-end solutions (using variety of components in various combinations). You can also find few ‘IIoT Used Cases’ regarding predictive quality analytics, preventive maintenance analytics and asset condition monitoring.

Such new possibilities in technology implementation are making organizations to rethink their existing solutions and evaluate their business approach. The organization architecture /practices are there to support business functions …and can be revamped under strategic move (Netflix as example). The organization’s approach should be to adapt to innovation and avoid onslaught by the competitors.
My point is (and because today I am accountable about that in my actual work place) this: there is no reason to use IIoT with AI and cloud and lot of things that some vendors are offering. But if after evaluate your company and what you state as a solution to your company problem then go ahead. You can use those technological items (which are not technological as a matter) in isolation.
Network:1123



Dec 27, 2018 4:35 PM
Replying to Keith Novak
...
Digital Twin hit the top list of executive buzz-words in 2017. This involves instrumenting a complex system to monitor what it does real time, developing a model to represent that (the twin), and to enable predictive capability on the model to try and determine how to optimize the system.

What I've noticed is a tendency to approach the problem from a perspective of: Lets measure a bunch of things and figure out a graphical interface to the dashboard, even if all the measures don't tell us anything. A more logical approach is, "Lets figure out the key characteristics to measure so that we can learn how to control them, rather than collect a bunch of data we don't need.
Keith - No doubt there has been numerous cases of failed implementation of good and not-so-good ideas.

I'd be interested to learn more about challenges of earlier IIoT implementations (like you mentioned few of them). Thanks for sharing.
Network:249



Ashok, There is an ecosystem of technology involved that people often fail to take into account when considering an IIoT solution.

There is the underlying physics of the industrial processes to be controlled. There is the Systems Engineering domain of how to describe those processes in a logical way. Then there is a Model Based Systems Engineering domain of how that system behavior is described in digital format suitable for exchange. Added to that there a distributed systems architecture knowledge required for how to fit the pieces together, like Amazon does with AWS or Google with GFS.

We wouldn't try to control the industrial process itself without understanding how it works, but there can be a tendency to start diving in and developing the IIoT aspect of the feedback and control system without understanding how that system works.

I see a tendency to disregard the "how it works" aspect as trivial when it's actually what binds it all together, and when that underlying framework is ignored, the pieces don't fit together well.

Please login or join to reply

Content ID:
ADVERTISEMENTS

Maybe the dingo ate your baby.

- Elaine Benes

ADVERTISEMENT

Sponsors