Artificial Intelligence and Big Data
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 277
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شناسه ملی سند علمی:
AICNF01_071
تاریخ نمایه سازی: 11 اردیبهشت 1404
چکیده مقاله:
In today’s fast-paced digital age, artificial intelligence (AI) and big data have emerged as transformative forces across industries, reshaping how organizations collect, manage, and utilize information. The synergy between AI and big data is undeniable: AI thrives on data, while big data analytics becomes more insightful and actionable when empowered by AI-driven methodologies. However, despite their combined potential to drive innovation and efficiency, significant challenges persist in managing and analyzing the vast and complex datasets that fuel these technologies. This article delves into the multifaceted challenges of data management and analysis in the context of AI and big data, exploring issues such as data volume, variety, velocity, and veracity, as well as concerns around privacy, security, and ethical considerations. By highlighting these challenges, we aim to provide a comprehensive understanding of the barriers and pave the way for potential solutions that can unlock the full potential of AI and big data in diverse fields.
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نویسندگان
Mohammad Khani Dehnavi
GRETP Project, Mobtakeran Qarn Nyusha International Company
Morteza Khani Dehnoi
Department of Computer Engineering, Faculty of Electrical and Computer Engineering, Quchan University of Technology