If we look beyond “production
Posted: Mon Feb 10, 2025 6:03 am
Legato offers a quantifiable estimate of the benefits that wider adoption of edge computing could bring to enable such scenarios: “If you can increase the yield at each step of a 200-step manufacturing process from 99.5% to 99.9%, that would increase the overall yield to 82%, up from 37% previously.”
” and think about process optimization in general, the possibilities are even broader. Even such a “basis” as energy management in an organization can be improved in this way. It can also be predictive, not just reactive.
“Predictive maintenance is another use case where you have an industrial PC on the equipment that takes raw data streams of temperature, vibration, humidity and predicts when maintenance needs to be done before the equipment actually fails,” Legato says.
Bogdanovich notes that this could have applications in canada mobile database industries, particularly those where the cost of downtime or equipment failure is high. “For example, jet engine manufacturers are already using predictive maintenance, where when an aircraft arrives, a maintenance crew is ready to fix and replace any necessary engine parts,” Bogdanovich says. “Healthcare companies are using it to monitor patients, improve care, and protect patient data.”
To summarize: it’s about automation (aimed at AI/ML in the case of computer vision) and optimization to improve business outcomes. While the focus on manufacturing/warehousing/supply chain is understandable, the issues of quality, safety, productivity, and efficiency extend across all industries and business requirements.
2. Improve application performance and user experience
Content Delivery Networks (CDNs) are one of the best modern applications of Edge concepts: they improve the consumer web experience by bringing web content closer to the person consuming it (i.e. reading, listening, watching).
” and think about process optimization in general, the possibilities are even broader. Even such a “basis” as energy management in an organization can be improved in this way. It can also be predictive, not just reactive.
“Predictive maintenance is another use case where you have an industrial PC on the equipment that takes raw data streams of temperature, vibration, humidity and predicts when maintenance needs to be done before the equipment actually fails,” Legato says.
Bogdanovich notes that this could have applications in canada mobile database industries, particularly those where the cost of downtime or equipment failure is high. “For example, jet engine manufacturers are already using predictive maintenance, where when an aircraft arrives, a maintenance crew is ready to fix and replace any necessary engine parts,” Bogdanovich says. “Healthcare companies are using it to monitor patients, improve care, and protect patient data.”
To summarize: it’s about automation (aimed at AI/ML in the case of computer vision) and optimization to improve business outcomes. While the focus on manufacturing/warehousing/supply chain is understandable, the issues of quality, safety, productivity, and efficiency extend across all industries and business requirements.
2. Improve application performance and user experience
Content Delivery Networks (CDNs) are one of the best modern applications of Edge concepts: they improve the consumer web experience by bringing web content closer to the person consuming it (i.e. reading, listening, watching).