Unveiling the Data Revolution: A Comprehensive Analysis of Big Data’s Impact Across Industries
Downloads
Keywords:
Big Data, Data Revolution, Data Analytics, Industry Transformation, Digital Innovation, Data Insights, Technological Advancements, Data-driven Decision Making, Industry Disruption, Data StreamsAbstract
In the era of information abundance, this research paper endeavors to unveil the intricate tapestry of the data revolution and its profound impact across diverse industries. The paper navigates the challenges and opportunities posed by the data revolution, exploring not only the technical aspects of data analytics but also the ethical considerations and societal implications of wielding such vast amounts of information. From predictive analytics driving business foresight to the societal impacts of data-driven decision-making, our analysis encompasses the multifaceted dimensions of big data's influence. This paper serves as a valuable resource for academics, industry professionals, and policymakers seeking a comprehensive analysis of big data's impact across industries, offering insights that extend beyond the realm of technology to shape the future of how businesses and societies harness the power of data.
Downloads
References
M. Muniswamaiah, T. Agerwala, and C. Tappert, "Data virtualization for analytics and business intelligence in big data," in CS & IT Conference Proceedings, 2019, vol. 9, no. 9: CS & IT Conference Proceedings.
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.
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.
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.
J. M. Puaschunder, "The legal and international situation of AI, robotics and big data with attention to healthcare," in Report on behalf of the European Parliament European liberal Forum, 2019.
Y. Chen, "IoT, cloud, big data and AI in interdisciplinary domains," vol. 102, ed: Elsevier, 2020, p. 102070.
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.
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.
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.
M. Khan, X. Wu, X. Xu, and W. Dou, "Big data challenges and opportunities in the hype of Industry 4.0," in 2017 IEEE International Conference on Communications (ICC), 2017: IEEE, pp. 1-6.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
License Terms
Ownership and Licensing:
Authors of this research paper submitted to the journal owned and operated by The Science Brigade Group retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in this Journal.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.
Plaudit
License Terms
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.