The move from the traditional system of automation that relies on industrial robots independent of each other to networked “cyberphysical systems” has transformed the way manufacturing plant operates and has set new standards for competitiveness in the marketplace. This has brought many of advantages to both producers and consumers, such as the following:
Just-in time manufacturing:
Adapted real-time production models have reached an new level of efficiency. These manufacturing systems that are powered by AI can produce parts in an adaptive method to meet the needs of the customer. Sensors monitor components by placing them in accordance with demand patterns and using algorithms to speed up lead times.
New products are introduced:
Production lines become information systems that drive decision making on matters as important as the line of production. This makes it easier to adapt to the demands and makes it simpler to shift from raw materials coming into the factory and the finished product that leaves it.
Consumption changes:
One of the most significant changes in mindsets has been the one between customers and assets. Customers are connected to industry via information networks and demand goods and experiences that are of greater quality and personalization. However manufacturers are able to create personalised products and services without losing effectiveness due to digital designs and smart production.
Employment market development:
The learning curve of AI techniques is slow , yet AI is growing in an unstoppable manner. This has made titles such as “Data Scientist” increasingly demanded. The employment model is evolving toward more analytical and skilled candidates in the field of technology. Therefore, it is crucial that the government invest in education which is a crucial factor to reduce unemployment.
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