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Benefits of Predictive Maintenance in Oil and Gas with Edge Computing
Midstream oil and gas companies can’t afford unplanned downtime. Studies have shown unplanned downtime can costs tens of millions of dollars per…
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Midstream oil and gas companies can’t afford unplanned downtime. Studies have shown unplanned downtime can costs tens of millions of dollars per…
The Business Value of Edge Computing in Pharmaceutical, Medical Device, and Biotech Manufacturing In the ever-evolving landscape of life sciences, organizations are…
Edge AI is a technology that can put artificial intelligence on edge servers and perform predictive maintenance with artificial intelligence at high speed. Future development is desired as one of the key technologies to solve the shortage of skilled engineers. Here, we will explain the difference between cloud AI and the use of cloud AI and edge AI.
Recently, two articles on global online platforms and technologies almost filled the general press, which is rare. One article shared information that the local government’s Twitter account had been frozen, which impacted disaster prevention activities.
With the advent of digital transformation projects and digitalization efforts, we’ve seen the rise of the use of Edge Computing platforms in automation and control because of two key capabilities: workload consolidation and operational resilience. How does Edge Computing empower your staff to get better results? Find out.
Edge Computing is gaining attention for its ability to improve processing speed and maintain operational continuity, although there are some occasional challenges. But how does Edge Computing compare to the cloud, and how can it be leveraged in the future?
Edge Computing platforms enable easy scalability, allowing you to start with a small HMI/SCADA solution (single node) and add more (multiple nodes in multiple locations) as your needs grow. Which one is right for you? Read this blog and find out.
By using AI in production management operations, it is possible to improve the efficiency of the entire production activity. What sort of relationship can production management operations have with AI? In this blog, we will explain the advantages of using AI for complex production management tasks and provide examples of implementation.
In the manufacturing industry, optimizing both manufacturing processes and the selling of products leads to increased profits. A production management system is a tool that can help streamline both. Learn how to implement, the key features, and advantages of a production control system.
Traditional HMI/SCADA architectures have been in existence for many years and have provided users with the capability to operate plants and facilities since the advent of modern automation and control. Let’s look at how to leverage Edge Computing platforms to rapidly modernize HMI/SCADA solutions and maximize reliability.