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When developing complex digital strategies to achieve successful IoT initiatives and control system projects, the convergence of OT and IT processes is essential. To align OT and IT processes and reduce risks for more effective industrial computer projects, some factors should be considered.
Computing infrastructure is an ever-changing landscape. The rise of edge computing capabilities, coupled with traditional industrial control system architectures, provides increased levels of customization.
To help navigate the new world of machine intelligence, we have teamed up with the International Society of Automation (ISA) to provide informative articles discussing the power of machine intelligence and how facilities can best utilize intelligence to enhance operations, productivity and uptime.
This article offers highlights from a recent newsletter featuring Gartner content. Learn how digital businesses can stay competitive by adopting an edge computing strategy.
When the future is indefinitely smart machines and everything and anything can be a service, you must stop to ask yourself, when does it makes sense for industrial operations to take this on? As we embark on the next revolution with Industry 4.0 and the digital transformation IA is undertaking, is the OT infrastructure ready for XaaS?
Large Fortune 500 companies with deep pockets are investing in IIoT technologies. These projects are yielding results, although implementations are not without their challenges. An increasing number of industrial companies are looking at ways to leverage analytics, outside of the traditional applications that helped them on the production side. Some have a clear idea of what they want to achieve, some are trying to understand what various technologies could do for them. What does seem clear is that some form of IT/OT convergence and collaboration is necessary to achieve success.
In this previously published IoT Evolution article, Stratus’ VP of business line management, Jason Andersen, discusses how industrial IoT gateway systems can be adequate, but relying on them for business-critical use in production environments could introduce new levels of risk. It also includes his insight into how to manage this risk.
In this previously published Automation World article, Stratus’ VP of business line management, Jason Andersen, discusses why artificial intelligence (AI) is important for industrial companies to be thinking about given the large amounts of data brought about by the Industrial Internet of Things (IIoT).
This article describes the evolution that is taking place in edge computing today, and briefly describes how next-generation solutions can help organizations capitalize on new opportunities presented by the edge.
The Industrial Internet of Things (IIoT) has many advantages for industrial organizations, enabling them to generate valuable business insights that can improve everything from efficiency to productivity. Read on to learn how to keep operations simple.