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AIROI - Artificial Intelligence Return on Invest
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AIROI - Artificial Intelligence Return on Invest: The AI strategy for decision-makers and managers

17 December 2024

Real-time analysis (Glossary)

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Real-time analysis is particularly important in the areas of big data and smart data, industry and Factory 4.0 as well as automation. This involves analysing data at lightning speed as it is generated. This means that companies can immediately see what is happening and react directly to it.

Instead of taking hours or even days to analyse, real-time analysis provides immediate insights. For example, factories can monitor production processes in real time. If a machine breaks down or there is an error in the process, the real-time analysis shows this immediately. Employees can intervene quickly and prevent major problems.

An illustrative example: In modern car production, sensors continuously measure temperature, pressure and other data on the machines. The real-time analysis immediately recognises when a value falls out of line. The system sounds the alarm before an expensive breakdown occurs.

By using real-time analyses, companies gain a decisive competitive advantage. They can control processes more efficiently, react more quickly to changes and improve quality. Real-time analysis is therefore an indispensable tool for anyone who works with a lot of constantly changing data.

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