Data fusion is an important term in 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 just one data set, data fusion combines various pieces of information, for example from sensors, cameras or internet data. The aim is to recognise correlations more quickly and make better decisions.
An illustrative example of this is a modern smart home: here, motion detectors, thermostats and light sensors provide a lot of individual data. Thanks to data fusion, the system can combine this data and recognise whether someone is at home, how warm it should be and when the light is needed. This increases comfort and saves energy.
For companies, data fusion means that they can utilise their diverse data sources to gain new insights. This opens up opportunities for more efficient processes, better products and a real competitive advantage. Data fusion therefore forms a central basis for digital transformation and innovative applications.
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