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    Standardized platforms, digital twins and AI, knowledge sharing and affordability pave the way
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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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    Hand putting hexagon piece to fulfill the part of R&D icon for Research and Development
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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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    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
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    Increased complexity warrants modularized software and interfaces for improved functionality, authority, modularity and scalability
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    Use system thinking to see, hear and feel the components of a function
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    As AI automates programming tasks, the industrial workforce’s specialized knowledge becomes essential in guiding intelligent systems
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    Siemens’ Xcelerator platform offers advanced monitoring and quality control features, especially in tool condition management