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    Software-defined automation delivers flexibility and intelligence beyond fixed hardware
    Concept of artificial intelligence for industrial revolution and automation manufacturing process
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    Unleash IT/OT convergence by implementing SDA to reshape industrial control architectures
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    Siemens' Rahul Garg predicts the impact of software-defined automation on industrial machine controls
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    This diagram shows how data flows from the production line into digital twin clients. Data from production floor devices is collected through standard industrial protocols, such as OPC UA and then structured and contextualized by the unified namespace (UNS). A message queuing telemetry transport (MQTT) broker distributes live data from the UNS to the Unity-based digital twin clients on compatible devices for accurate visualization of the production line. Time-series and SQL databases store historical data that Unity can access as needed. The supervisory control and data acquisition (SCADA) system obtains the same data as the UNS in parallel and operates on it before supplying its data to the UNS, offering additional process visibility and control. Cloud-based services like Amazon Web Services or Azure can be used to host the UNS, databases and other backend components so that Unity clients can access the digital twin securely over the internet.
    E Tech Group helps large global manufacturer use real-time data flows from the production equipment
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    Hands of robot and human connect artificial intelligence AI circuit board to virtual smart chatbot with a command for automation generate, learning technology artificial intelligence machine, AI.
    While AI-generated code should be used responsibly, it could change the future face of the engineering workforce
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    Abstracted from hardware, software-defined platforms eliminate the need for single-source automation and can run on any compute device

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    DigiKey partners with TraceParts
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    Panoramic banner of man holds a collection of icons representing robotic process automation and software management
    Control, monitor and adjust processes through software interfaces, rather than rewiring or manually adjusting hardware
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    Decoupling of hardware and software allows for standardized automation applications to run across IT and OT hardware platforms
    Low Angle Shot In Fully Working Data Center IT Engineer Installs Hard Drive into Server Rack
    SDA emphasizes flexible, open-source, universal protocols and agnostic platforms
    Photo: ACS
    University of Wisconsin Engine Research Center. Photo: ACS
    ACS’ Roy Krans explains how SDA reduces reliance on proprietary hardware, enables remote monitoring and updates, speeds deployment and supports machine learning