TOWARDS SMARTER MACHINES: LEVERAGING BIG DATA FOR ENHANCED AI CAPABILITIES
DOI:
https://doi.org/10.53555/eijhss.v7i4.167Keywords:
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 rapid advancement of Artificial Intelligence (AI) owes much of its progress to the burgeoning field of Big Data. As AI systems become more capable and integral to various aspects of our lives, the need for extensive and high-quality data has become paramount. This paper explores the symbiotic relationship between Big Data and AI, focusing on how the analysis and utilization of large datasets are catalyzing the evolution of AI capabilities. This paper delves into the methods, technologies, and applications that leverage Big Data to enhance AI, enabling smarter and more efficient machines. By examining the opportunities and challenges that arise at the intersection of Big Data and AI, this paper aims to shed light on the pivotal role data plays in shaping the future of intelligent systems. This paper discusses real-world examples of industries and domains that benefit from this synergy and highlight the ethical and privacy considerations that accompany the use of large datasets. This research offers valuable insights into the ongoing transformation of AI through Big Data, providing a foundation for understanding and harnessing this powerful partnership for future innovations and applications.
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