Data fusion is an important term from the fields of Big Data and Smart Data, Artificial Intelligence, and the Internet of Things. It describes the merging of data from different sources in order to gain a more complete and accurate picture.
Instead of relying on a single dataset, data fusion combines different information, for example from sensors, cameras, or internet data. The aim is to recognise connections faster and make better decisions.
A clear example of this is a modern smart home: here, motion detectors, thermostats and light sensors deliver a lot of individual data. Thanks to data fusion, the system can merge this data and thus recognise whether someone is at home, how warm it should be, and when the light is needed. This increases comfort and saves energy.
For businesses, Data Fusion means they can leverage their diverse data sources to gain new insights. This opens up opportunities for more efficient processes, better products, and a real competitive advantage. Therefore, Data Fusion forms a central foundation for digital transformation and innovative applications.
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