YORK, Nov. 24, 2022 /PRNewswire/ --
With the advent of Industry 4.0 and smart factories, digital
manufacturing technologies have been experiencing exponential
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Disruptive technologies are playing a vital role in the
revolutionary transformation of many key industries, such as
aerospace, automotive, industrial automation, healthcare, and oil
3D printing, advanced robotics, IIoT, and many data-driven
technologies are not only redefining manufacturing but also
fundamentally reshaping product design.
Industries and manufacturers have adopted these transformative
technologies to achieve maximum benefit, in terms of operating
profits and achieving sustainability in manufacturing.
Data technologies and data analytics define the entire new
transformation and revitalization of manufacturing and make it a
highly automated and self-sufficient entity.
Artificial intelligence (AI) technologies drive intelligent
automation and serve as a catalyst that increases productivity in
Monolithic architecture is prevalent in industrial and
manufacturing software development and deployment.
Rigid and complex, a monolithic application is a large code
repository where changes or updates require manual installation and
Patches released during the release cycle can take months.
A single failure can affect the entire application, and the system
must recover completely to resume operations.
In increasingly changing and digitalized business environments,
business agility and flexibility have become pivotal and rendered
monolithic architecture inadequate.
AR technology simplifies complex processes by placing the right
information in the right place at the right time.
It also bridges the gap between the cyber-physical IoT and the real
world and creates a composite environment in real time.
Manufacturers are implementing advanced AR technology into their
shop floor and assembly processes, to reduce cost, increase
efficiency, and improve overall production; this trend is changing
the face of manufacturing.
AR superimposes holographic images and merges them with the real
world and enables workers to identify effective ways to enhance the
product design process.
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