
In the realm of data management, the long-standing belief that only clean, flawless datasets can yield accurate and efficient models is facing reevaluation. As technologies evolve and data becomes more integral to strategic decision-making, a shift is occurring that suggests untapped potential might reside within so-called “bad data.” This emerging perspective questions traditional views, arguing for the potential benefits of










