Machine Learning (ML) is a powerful enabler for Data Management, revolutionizing the way organizations handle and analyze vast amounts of data. ML, a subset of Artificial Intelligence (AI), offers various approaches to tackle Data Management challenges. ML algorithms are unique in their ability to learn from data and improve their performance over time without explicit programming, making it well-suited for addressing Data Management challenges. ML has revolutionized traditional Data Management techniques by enabling advanced functionalities such as anomaly detection, image recognition, and natural language processing. In 2023, ML will continue to transform Data Management across industries, from enhancing customer relationship management systems to improving supply chain optimization. ML algorithms can also be used to enhance Data Quality by automating various tasks such as identifying and rectifying inconsistencies, errors, and missing values in datasets.
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