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Data is the backbone of AI systems, and though the concept of Big Data quenches the data thirst of most AI systems, most of the data is not fit for use readily. To fully understand the problem at hand, accurate and all-encompassing datasets are still needed.
Data fusion has gained a lot of traction in digital applications in recent years because the systems feeding on fusion data have higher efficiency and better decision-making skills. The following narrative explains how this multifaceted approach not only streamlines various data utilization needs but also addresses the increasing challenges in the data management landscape.
This article has been indexed from DZone Security Zone