THE CONVERGENCE OF BIG DATA AND ARTIFICIAL INTELLIGENCE: A RESEARCH JOURNEY
DOI:
https://doi.org/10.53555/ephijse.v8i4.210Keywords:
Smarter machines, Big data, Artificial intelligence, Enhanced capabilities, Machine learning, Deep learning, Data-driven insights, Data analytics, Data processing, Data quality, Predictive analytics, Real-time decision-making, AI applications, Industry transformationAbstract
The Convergence of Big Data and Artificial Intelligence: A Research Journey" is a research paper that embarks on an exploration of the interplay between two transformative forces in the modern technological landscape: Big Data and Artificial Intelligence (AI). This paper navigates the evolutionary path of these two domains, revealing their growing convergence and the profound implications this synergy has for various sectors. The research journey commences with an examination of the fundamental concepts of Big Data and AI, elucidating the pivotal role that data plays in shaping AI's algorithms and models. Through empirical evidence and case studies, the paper underscores how the colossal datasets of the information age empower AI to become more adaptable, accurate, and versatile. Additionally, the paper delves into the practical applications of this convergence, offering insights into how Big Data-driven AI is transforming industries, improving decision-making processes, and contributing to the development of intelligent systems across domains like healthcare, finance, and transportation.
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