DATA CHALLENGES AND OPPORTUNITIES IN THE AI ERA: A BIG DATA PERSPECTIVE
DOI:
https://doi.org/10.53555/eijas.v8i2.167Keywords:
Data Challenges, Data Opportunities, Artificial Intelligence (AI), Big Data, Machine Learning, Data Quality, Data Privacy, Data Governance, Data Bias, Data Ethics, Data Management, Data Analysis, Predictive Modeling, Real-time Decision-makingAbstract
In the current era of Artificial Intelligence (AI) proliferation, the role of data has become pivotal in shaping the landscape of AI-driven applications and systems. This research paper delves into the intricate relationship between AI and Big Data, emphasizing the myriad challenges and abundant opportunities that this synergy presents. The paper begins by dissecting the fundamental challenges of managing, processing, and analyzing vast amounts of data, highlighting the need for scalable and efficient infrastructure. It explores the intricacies of data quality, diversity, and privacy concerns that influence the development of AI models, and it underscores the critical importance of ethical considerations in the AI era. The rapid evolution of artificial intelligence (AI) and the proliferation of big data have converged to redefine the landscape of modern technology and business. In this era of data-driven decision-making, understanding the intricate relationship between big data and AI is crucial for unlocking the full potential of both. This research paper explores the multifaceted challenges and abundant opportunities that arise when harnessing big data within the AI ecosystem.
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