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To achieve the full benefits of IIoT edge, providers must focus on the customer's specific use case, according to a panel of experts from IOTech, Eaton, Mitsubishi Power, and Schneider Electric
EDINBURGH, Scotland - OhioPen -- The benefits of an Industrial IoT edge solution range from helping an enterprise achieve maximum profitability and uncover new revenue opportunities, to reducing energy consumption, and ensuring a level of quality. A panel of Industrial IoT experts from IOTech, Eaton, Mitsubishi Power, and Schneider Electric recently discussed these benefits, innovation success and challenges in IIoT edge computing systems during a recent webinar.
Coordinated by IOTech and moderated by company CTO Jim White, the webinar brought together Industrial IoT leaders to discuss how industrial sector companies and OEMs are producing real world edge solutions to disrupt the marketplace, create new revenue streams, save precious resources, and lead their sectors in innovation.
Key insights delivered during the session included:
● The industry is now entering a phase where IoT is actually creating savings for
enterprises, specifically related to maintenance and reducing the downtime of assets
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● The ability to analyze data at the edge combined with machine learning is creating
new predictive maintenance opportunities, which ensures a level of quality for
enterprises
● With a clear return on investment, Industrial IoT has moved from proof-of-concept to
full scale deployment
● Security remains a focus, but it is now managed as part of the development and
product life cycle. It's an ongoing process to maintain the required level of security
"We structured the session so that our panel of experts could provide detailed, real-world insights for the professionals and technologists working on their own edge/IoT solutions," said White. "We covered a wide variety of topics, addressed the challenges along with the benefits, and provided tangible examples of how companies are generating revenue, optimizing their resources through Industrial IoT edge solutions."
Predictive maintenance, energy consumption, standards of quality, new revenue sources and optimized profits were a few of the items discussed. Panel members reiterated that the key to any successful IoT edge deployment is to focus on the customer's use case.
"It's all about focusing on the problem the customer is trying to solve or the performance the customer is trying to achieve," White said.
More on Ohio Pen
Some of the challenges discussed by the panel of experts included brownfield deployments, legacy equipment and protocols, heterogeneous systems, and the cloud-edge relationship.
You can watch the webinar here
About IOTech
IOTech builds and deploys vendor-neutral software platforms and tools to support the rapid development, deployment, and management of applications at the IoT edge helping drive IoT innovation, global market adoption, velocity and scale. The company's products address the full spectrum of secure hard and soft real-time edge computing needs, dramatically reducing time to market, development and system integration costs for its partners, who are the supply chains to multiple vertical IoT market domains. IOTech leverages an open-source ecosystem to collaboratively improve time to market, develop global channel partnerships and achieve pervasive adoption of its software products.
Coordinated by IOTech and moderated by company CTO Jim White, the webinar brought together Industrial IoT leaders to discuss how industrial sector companies and OEMs are producing real world edge solutions to disrupt the marketplace, create new revenue streams, save precious resources, and lead their sectors in innovation.
Key insights delivered during the session included:
● The industry is now entering a phase where IoT is actually creating savings for
enterprises, specifically related to maintenance and reducing the downtime of assets
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● The ability to analyze data at the edge combined with machine learning is creating
new predictive maintenance opportunities, which ensures a level of quality for
enterprises
● With a clear return on investment, Industrial IoT has moved from proof-of-concept to
full scale deployment
● Security remains a focus, but it is now managed as part of the development and
product life cycle. It's an ongoing process to maintain the required level of security
"We structured the session so that our panel of experts could provide detailed, real-world insights for the professionals and technologists working on their own edge/IoT solutions," said White. "We covered a wide variety of topics, addressed the challenges along with the benefits, and provided tangible examples of how companies are generating revenue, optimizing their resources through Industrial IoT edge solutions."
Predictive maintenance, energy consumption, standards of quality, new revenue sources and optimized profits were a few of the items discussed. Panel members reiterated that the key to any successful IoT edge deployment is to focus on the customer's use case.
"It's all about focusing on the problem the customer is trying to solve or the performance the customer is trying to achieve," White said.
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Some of the challenges discussed by the panel of experts included brownfield deployments, legacy equipment and protocols, heterogeneous systems, and the cloud-edge relationship.
You can watch the webinar here
About IOTech
IOTech builds and deploys vendor-neutral software platforms and tools to support the rapid development, deployment, and management of applications at the IoT edge helping drive IoT innovation, global market adoption, velocity and scale. The company's products address the full spectrum of secure hard and soft real-time edge computing needs, dramatically reducing time to market, development and system integration costs for its partners, who are the supply chains to multiple vertical IoT market domains. IOTech leverages an open-source ecosystem to collaboratively improve time to market, develop global channel partnerships and achieve pervasive adoption of its software products.
Source: IOTech Systems
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