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Fourth Industrial Revolution

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Industry 4.0 digitalization is applicable to all horizons and businesses in the manufacturing industry.<br />

Digitalization helps in connecting all elements of workspace be it physical or digitally accessible to<br />

everyone, hence creating IoT.<br />

IoT as we know enables the elimination of laborious tasks and helps in innovation. Something like 3D<br />

printing of parts or a batch as a whole that was not possible before is now very much practical due to a<br />

new level of precision monitored by computers/AI. This new level of interaction between human and a<br />

bot has helped save a lot of monotonous and laborious work for the human staff and has encouraged<br />

innovation along with more user adoption of robots and computers for strategic and critical processes.<br />

There is a substantial amount of data created in everyday activities like making a call, transmitting<br />

electricity and most of this data is unreadable and flowing through transmitters, cables and/or<br />

numbers. Here, Big Data Analysis helps a manufacturingcompany to monitor and rapidly view data<br />

from all of their suppliers, customers and partners in a single window. If there is a critical process needs<br />

management’s attention to determine the part of plant that is not working, they can exactly locate the<br />

location and the reason of the failure and have a solution ready for deployment. This will result in<br />

minimal loss of resources besides streamlining the processes.<br />

Where there is huge amount of data and accessibility to such data seems to inevitable, data security<br />

comes into picture. Cybersecurity and data accessibility are a part of Big Data Analysis and make data<br />

accessibility less of a headache. This complete process together makes the company not only process<br />

oriented, but also an innovation-oriented organisation.

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