Artificial intelligence has revolutionized processes in the digital environment; some of the most profound advancements will take place in fields beyond technology.
Manufacturing plants, logistics networks, and warehouses produce an enormous amount of operational data. This information is usually distributed across various services and, therefore, it is difficult to see the entire picture.
However, now that Artificial Intelligence is combined with the Internet of Things (AIoT), the situation is changing.
What is AIoT?
AIoT is the collaboration between interconnected devices and systems to capture, analyze, and assess data. The functioning of IoT involves collecting operational data; the role of AI is to analyze the data.
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Practical Usage**
Now companies are applying AIoT for:
- Enhanced understanding of performance
- Efficient management of inventory
- Increased uptime of machines
- Improved safety of employees
- Predictive maintenance
- Increased efficiency
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Why it is Important?**
The great amount of operational data is already gathered by many companies. Therefore, the problem is not the collection of more data, but the greater utilization of what already exists.
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