EXPLORING THE INTERSECTION OF BIG DATA AND AI: RESEARCH CHALLENGES AND PROSPECTS
DOI:
https://doi.org/10.53555/eijas.v8i4.168Keywords:
Big Data, Artificial Intelligence, Data Challenges, Research Challenges, Prospects, Data Quality, Data Preprocessing, Machine Learning, Interdisciplinary Collaboration, Predictive Analytics, Automation, Data Insights, Data-driven Decision-making, Ethical ConsiderationsAbstract
In the dynamic landscape of modern data science and artificial intelligence (AI), the integration of Big Data has emerged as a transformative force, presenting both novel opportunities and complex challenges. This research paper embarks on a comprehensive exploration of the intersection between Big Data and AI, shedding light on the intricate relationship that underpins advancements in these fields. The primary focus of this study is to dissect the evolving dynamics, methodologies, and research challenges encountered at the intersection of Big Data and AI. This research paper also highlights critical ethical and privacy concerns arising from the growing synergy of Big Data and AI, encouraging responsible data usage and algorithmic fairness. The confluence of Big Data and Artificial Intelligence (AI) has given rise to a transformative paradigm in the realms of technology, industry, and academia. The proliferation of massive datasets and the evolving capabilities of AI systems have fostered a symbiotic relationship, promising immense opportunities while introducing intricate research challenges.
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