Enhancing Predictive Analytics with AI-Powered RPA in Cloud Data Warehousing: A Comparative Study of Traditional and Modern Approaches
Keywords:
Artificial intelligence, Robotic Process Automation, cloud data warehousingAbstract
AI and RPA enhance cloud data warehouse predictive analytics. This research extensively compares cloud-based AI-powered RPA technologies against conventional data processing. Manual data administration and scripting impair scalability, predictive modeling, and efficiency. Data preparation and feature engineering are automated by AI-powered RPA, improving efficiency, accuracy, and scalability.
This study shows how AI-powered RPA can automate repetitive operations and reduce data preparation expenses. Research reveals that machine learning and deep learning improve cloud data warehousing data processing pipelines. This study compares AI and RPA to conventional methods to show their pros and cons and how they improve predictive analytics.
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