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One way to solve Data Science’s challenges in Data Cleaning and pre-processing is to enable Artificial Intelligence technologies like AugmentedAnalytics and Auto-feature Engineering. Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau.
Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmentedanalytics, and automated processes. The benefits of augmentedanalytics include: Faster Insights : Automated processes enable quicker access to insights, allowing organisations to respond to market changes promptly.
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