THE INTERPLAY OF DATA AND ALGORITHMS: BIG DATA INFLUENCE ON ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.53555/eijms.v8i2.70Keywords:
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
The Interplay of Data and Algorithms: Big Data's Influence on AI" is a research exploration that delves into the dynamic relationship between Big Data and Artificial Intelligence (AI). This paper highlights the pivotal role of Big Data in reshaping AI algorithms and models and the transformative impact this synergy has across various industries. The paper begins by elucidating the fundamental concepts of Big Data and AI, offering insights into how large and diverse datasets empower AI systems to adapt, learn, and improve their decision-making capabilities. Through real-world examples and case studies, it showcases the practical applications of Big Data-driven AI in fields such as healthcare, finance, autonomous vehicles, and natural language processing. Moreover, the paper acknowledges the ethical considerations that accompany the utilization of Big Data in AI. It emphasizes the importance of responsible data handling practices to ensure that the benefits of this convergence are distributed fairly and that individual privacy and societal values are preserved.
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.
. 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.
