AI and Data Intelligence: The Next Generation Technology Innovation

  IJCTT-book-cover
 
         
 
© 2023 by IJCTT Journal
Volume-71 Issue-7
Year of Publication : 2023
Authors : Sankul Seth
DOI :  10.14445/22312803/IJCTT-V71I7P106

How to Cite?

Sankul Seth, "AI and Data Intelligence: The Next Generation Technology Innovation," International Journal of Computer Trends and Technology, vol. 71, no. 7, pp. 44-47, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I7P106

Abstract
Cutting-edge advancements in AI and data intelligence are transforming industry across sectors, but their implementation comes with a pressing need to address the profound ethical challenges associated with the ubiquitous use of AI and data intelligence. Crucial issues include privacy, bias, security, and the implications of AI systems replacing human tasks in the workforce. Understanding and addressing these ethical dilemmas are paramount for stakeholders to harness these powerful technologies responsibly and ethically. The transformative power of AI and data intelligence is undeniable, with vast applications in healthcare, finance, education, transportation, and many other domains. Despite their potential to drive progress and create positive change, the responsible development and deployment of these technologies must take center stage. A growing body of research seeks to address these issues and provide potential solutions.

Keywords
Data intelligence, Artificial intelligence, Data integration, Machine learning, Data protection.

References

[1] Sanjeev Kumar, “Data Intelligence and Planning using AI and Machine Learning with SAP Analytics Cloud - SAC,” International Journal of Computer Trends and Technology, vol. 69, no. 2, pp. 1-4, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Peter Sarlin, “Visual Tracking of the Millennium Development Goals with a Fuzzified Self-organizing Neural Network,” International Journal of Machine Learning and Cybernetics, vol. 3, pp. 233-245, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[3] The klondike Website, 2021. [Online]. Available: https://www.klondike.ai/en/klondike-glossary-of-artificial-intelligence/
[4] Shobhana Chandra et al., “Personalization in Personalized Marketing: Trends and ways Forward,” Psychology & Marketing, vol. 39, no. 8, pp. 1529-1562, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Francesca Rossi, “Building Trust in Artificial Intelligence,” Journal of International Affairs, vol. 72, no. 1, pp. 127–34, 2018.
[Google Scholar] [Publisher Link]
[6] Md Mahedi Hassan Onik, Chul-Soo Kim, and Jinhong Yang, “Personal Data Privacy Challenges of the Fourth Industrial Revolution,” 21st International Conference on Advanced Communication Technology, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Praveen K. Kopalle et al., “Examining Artificial Intelligence (AI) Technologies in Marketing Via a Global Lens: Current Trends and Future Research Opportunities,” International Journal of Research in Marketing, vol. 39, no. 2, pp. 522-540, 2022.
[CrossRef] [Google Scholar] [Publisher Link]