Edge computing: A foundation for faster industry 4.0 machine design, development, and delivery
The pace of digitization in the OEM market is rapidly accelerating as new challenges displace old ways of doing business and spur engineers to rethink mechanical engineering from the design phase. As Industry 4.0 evolves, engineering teams will be challenged to provide capabilities such as analytics, artificial intelligence (AI) and machine learning (ML) and devices that can meet Machine-as-a-Service (MaaS) requirements.
Development teams are turning to edge computing platforms to build robust smart machines that meet a variety of current and future end-user needs and get to market faster. Download this white paper by Stratus Technologies and learn how edge computing can accelerate your machine design, development and delivery:
– Integrate edge computing to reach a new level of reliability
– Creating a foundation for data collection, the use of software, and the future-proofing of flexibility
– Easy repeatability and scalability of deployment smart machines for end-user deployment
– Enables zero touch, remote operation with cybersecurity protection
– Transition to Machine-as-a-Service models to generate new revenue
Article Topics
AI | artificial intelligence | Industry 4.0 | machine learning | Stratus Technologies | whitepaper
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