THE SYNERGY OF BIG DATA AND AI: A COMPREHENSIVE REVIEW AND FUTURE DIRECTIONS
DOI:
https://doi.org/10.53555/eijhss.v7i4.168Keywords:
Big Data, Artificial Intelligence, Synergy, Comprehensive Review, Future Directions, Data-driven, Decision-Making, Integration, Innovation, Transformation, Challenges, Opportunities, Ethical Considerations, Privacy, Scalability, Machine LearningAbstract
The dynamic convergence of Big Data and Artificial Intelligence (AI) has revolutionized various domains, from healthcare and finance to autonomous vehicles and recommendation systems. This paper presents a comprehensive review of the interplay between Big Data and AI, delving into the fundamental concepts, key achievements, challenges, and promising directions for the future. This paper explores the symbiotic relationship between Big Data and AI, showcasing how the sheer volume, velocity, and variety of data have catalyzed the evolution of AI algorithms, enabling them to extract meaningful insights, make predictions, and optimize decision-making processes. Ethical considerations and privacy concerns within this synergy are also addressed, shedding light on the need for responsible data handling and algorithmic fairness. The intersection of Big Data and Artificial Intelligence (AI) has transformed the landscape of modern technology and ushered in a new era of data-driven decision-making and innovation. This comprehensive review paper explores the intricate relationship between Big Data and AI, shedding light on their synergistic effects, past developments, current trends, and the promising future directions that lie ahead.
References
M. Muniswamaiah, T. Agerwala, and C. C. Tappert, "Federated query processing for big data in data science," in 2019 IEEE International Conference on Big Data (Big Data), 2019: IEEE, pp. 6145-6147.
N. Norori, Q. Hu, F. M. Aellen, F. D. Faraci, and A. Tzovara, "Addressing bias in big data and AI for health care: A call for open science," Patterns, vol. 2, no. 10, 2021.
Y. Duan, J. S. Edwards, and Y. K. Dwivedi, "Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda," International journal of information management, vol. 48, pp. 63-71, 2019.
J. Car, A. Sheikh, P. Wicks, and M. S. Williams, "Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom," vol. 17, ed: BioMed Central, 2019, pp. 1-5.
S. A. Bhat and N.-F. Huang, "Big data and ai revolution in precision agriculture: Survey and challenges," IEEE Access, vol. 9, pp. 110209-110222, 2021.
H. Luan et al., "Challenges and future directions of big data and artificial intelligence in education," Frontiers in psychology, vol. 11, p. 580820, 2020.
Y.-t. Zhuang, F. Wu, C. Chen, and Y.-h. Pan, "Challenges and opportunities: from big data to knowledge in AI 2.0," Frontiers of Information Technology & Electronic Engineering, vol. 18, pp. 3-14, 2017.
G. Hasselbalch, Data ethics of power: a human approach in the big data and AI era. Edward Elgar Publishing, 2021.
M. D'Arco, L. L. Presti, V. Marino, and R. Resciniti, "Embracing AI and Big Data in customer journey mapping: From literature review to a theoretical framework," Innovative Marketing, vol. 15, no. 4, p. 102, 2019.
L. Surya, "An exploratory study of AI and Big Data, and it's future in the United States," International Journal of Creative Research Thoughts (IJCRT), ISSN, pp. 2320-2882, 2015.
S. Strauß, "From big data to deep learning: a leap towards strong AI or ‘intelligentia obscura’?," Big Data and Cognitive Computing, vol. 2, no. 3, p. 16, 2018.
Y. Chen, "IoT, cloud, big data and AI in interdisciplinary domains," vol. 102, ed: Elsevier, 2020, p. 102070.
S. Wachter and B. Mittelstadt, "A right to reasonable inferences: re-thinking data protection law in the age of big data and AI," Colum. Bus. L. Rev., p. 494, 2019.
M. Kantarcioglu and F. Shaon, "Securing big data in the age of AI," in 2019 First IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA), 2019: IEEE, pp. 218-220.
M. C. Elish and D. Boyd, "Situating methods in the magic of Big Data and AI," Communication monographs, vol. 85, no. 1, pp. 57-80, 2018.
