AI-DRIVEN BIG DATA ANALYTICS: UNVEILING INSIGHTS FOR BUSINESS ADVANCEMENT
DOI:
https://doi.org/10.53555/ephijse.v9i3.219Keywords:
AI-driven analytics, Big data, Artificial intelligence, Machine learning, Data-driven insightsAbstract
In the contemporary business landscape, the proliferation of data has surged to unprecedented levels, presenting both an opportunity and a challenge for enterprises across diverse sectors. Big data analytics, powered by artificial intelligence (AI), has emerged as a transformative force, offering invaluable insights to drive strategic decision-making and foster business advancement. This paper aims to elucidate the pivotal role of AI-driven big data analytics in extracting meaningful insights from vast and complex datasets. It explores the convergence of AI technologies, machine learning algorithms, and sophisticated data analytics tools that enable organizations to harness the potential of big data. Moreover, it delves into the significance of predictive analytics, prescriptive analytics, and descriptive analytics in empowering businesses to forecast trends, optimize operations, and uncover hidden patterns. Furthermore, this paper examines the practical implications and benefits of employing AI-driven big data analytics across various industries. Case studies and real-world examples illustrate how businesses can leverage these insights to enhance customer experiences, improve operational efficiency, and gain a competitive edge in the market. Additionally, ethical considerations, data privacy concerns, and the challenges associated with implementing AI-driven big data analytics are also discussed, emphasizing the importance of responsible data usage and compliance with regulatory frameworks
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