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When technology that has the potential for revolutionizing an industry emerges, typically only a few companies with vision see it as attractive and leverage it.

The white paper’s best-practice approach to managing trustworthiness is comprised of four phases: baselining the system, analyzing potential trustworthiness events, implementing trustworthiness targets and governance, and iterating and maintaining the resulting trustworthiness model.

Is IIoT really a game changer for the industrial automation and process control industries? Or is it just a trendy buzzword?

By John Fryer, Stratus Technologies To protect their networks and data, companies utilizing edge technology need to make sure that they are addressing cybersecurity threats on the edge. To develop the best edge security strategy for their specific operations, companies need to take into account the below best practices prior to implementation.

Operator insights from data analytics and asset performance management creates new energy efficiencies and expands capacity.

The value the IIoT brings is not about the amount of data generated. Rather it is about what is being done with that data

By Morteza Seraj, Mitsubishi Electric’ Efficient control hardware combined with the management and optimization offered by virtual power plants provides an opportunity to meet that challenge today. This article provides a practical overview of how virtual power plants can provide the answer.

The white paper focuses on three main communication challenges: complexity, security, and expense. IIoT and other data-intensive automation applications typically require many steps and a lot of middleware: hardware, drivers, parsers, and custom software.

Siemens and SAS will collaborate to engage with new and existing customers and, beginning with streaming analytics, enable near-real-time embedded AI for IoT devices at the edge. The partners expect the solutions to be generally available later this year.

Learn how maintenance managers use automation and control systems to manage the increasingly complex facilties, equipment and buildings

Dramatic advancements in technology are driving the Internet of Things, creating more tools for industrial automation and the process industries.

The Industrial Internet of Things offers much greater availability of data to provide the knowledge needed to sustain and improve plant safety, reliability and performance.

Predictive analytics, a relatively new dimension to analytics tools, can give valuable insights about what will happen in the future based on historical data.

The pace of technological change in the automation industry seems to be accelerating as we head into 2019, driven by innovations developed for Internet of Things and general computing.

LF Edge is initially comprised of five projects that will support emerging edge applications in the area of non-traditional video and connected things that require lower latency, faster processing and mobility.

The best way to determine potential ROI is by tracking some vital key performance indicators or KPIs.

By John Fryer, Stratus Technologies Manufacturing professionals looking to implement IIoT and edge computing need to ask themselves the following questions to identify underlying challenges and figure out how to address them.

Smart, flexible robots allow manufacturers to shift to market demands far more quickly and efficiently and without advanced programming.

Despite IIoT, Industrial Ethernet and Industry 4.0 initiatives, digital networks are still not used everywhere. Organizations stuck in an analog world should look carefully at what they are missing.

FDT technology integrates any device, system, or network in an automation architecture. It leverages IIoT and Industry 4.0 to help realize the true potential of decentralization, interoperability, and