Advancing Artificial Intelligence and Machine Learning for Adaptive Decision-Making and Enhanced Predictive Analytics
Keywords:
Artificial Intelligence, Machine Learning, Adaptive Decision-Making, Predictive Analytics, Pattern RecognitionAbstract
Artificial Intelligence (AI) and Machine Learning (ML) have become pivotal in transforming decision-making and predictive analytics across various industries. AI and ML enable systems to process large volumes of data, recognize patterns, and improve outcomes through adaptive learning mechanisms. This paper explores the theoretical foundations and practical applications of AI and ML in enhancing decision-making capabilities and predictive accuracy. Through a comprehensive literature review of research published before 2020, this paper identifies key advancements, challenges, and future directions in AI and ML. The findings highlight that AI and ML-driven systems can significantly improve predictive accuracy and decision-making efficiency by learning from dynamic data environments. This research underscores the potential of AI and ML to revolutionize industries, including healthcare, finance, and manufacturing, through enhanced analytical capabilities and real-time decision-making.
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