LEVERAGING AI FOR ENHANCED EFFICIENCY AND AUTOMATION IN BUSINESS OPERATIONS

Authors

  • Vineeta Dsouza Amazon, USA. Author

Keywords:

AI-Driven Efficiency, Business Automation, Data Processing, Machine Learning, Technological Advancement

Abstract

This article explores the transformative potential of Artificial Intelligence (AI) in enhancing business efficiency and enabling automation across various sectors. It examines the technological advancements that have fueled the AI revolution, particularly in hardware capabilities. It details the AI-driven data lifecycle, including data processing, insight generation, process simplification, automation implementation, and continuous improvement through feedback loops. The article also discusses the significant benefits of AI-enabled efficiency and automation, such as increased productivity, enhanced accuracy, scalability, cost reduction, and improved customer experience. Drawing on numerous studies and industry examples, it illustrates how AI reshapes business operations and decision-making processes while acknowledging the challenges and considerations for successful AI implementation.

 

References

D. Reinsel, J. Gantz, and J. Rydning, "The Digitization of the World: From Edge to Core," IDC White Paper, Nov. 2018. [Online]. Available: https://www.seagate.com/files/www-content/our-story/trends/files/idc-seagate-dataage-whitepaper.pdf

T. Davenport and R. Ronanki, "Artificial Intelligence for the Real World," Harvard Business Review, Jan.-Feb. 2018. [Online]. Available: https://hbr.org/2018/01/artificial-intelligence-for-the-real-world

PwC, "Sizing the prize: What's the real value of AI for your business and how can you capitalise?," PwC Analysis, 2017. [Online]. Available: https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf

NVIDIA, "CUDA Zone," NVIDIA Developer, 2023. [Online]. Available: https://developer.nvidia.com/cuda-zone

N. Jouppi et al., "In-Datacenter Performance Analysis of a Tensor Processing Unit," in Proceedings of the 44th Annual International Symposium on Computer Architecture (ISCA), 2017, pp. 1-12. [Online]. Available: https://arxiv.org/abs/1704.04760

T. B. Brown et al., "Language Models are Few-Shot Learners," in Advances in Neural Information Processing Systems, vol. 33, 2020, pp. 1877-1901. [Online]. Available: https://arxiv.org/abs/2005.14165

M. Tapaswi, Y. Zhu, R. Stiefelhagen, A. Torralba, R. Urtasun, and S. Fidler, "MovieQA: Understanding Stories in Movies through Question-Answering," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 4631-4640. [Online]. Available: https://openaccess.thecvf.com/content_cvpr_2016/papers/Tapaswi_MovieQA_Understanding_Stories_CVPR_2016_paper.pdf

E. Topol, "High-performance medicine: the convergence of human and artificial intelligence," Nature Medicine, vol. 25, no. 1, pp. 44-56, 2019. [Online]. Available: https://www.nature.com/articles/s41591-018-0300-7

Autonomous Research, "Augmented Finance and Machine Intelligence," 2018. [Online]. Available: https://www.autonomous.com/fintech/augmented-finance-machine-intelligence

S. Ransbotham, S. Khodabandeh, R. Fehling, B. LaFountain, and D. Kiron, "Winning With AI," MIT Sloan Management Review, Oct. 2019. [Online]. Available: https://sloanreview.mit.edu/projects/winning-with-ai/

M. Purdy and P. Daugherty, "Why Artificial Intelligence is the Future of Growth," Accenture, 2016. [Online]. Available: https://www.accenture.com/t20170524T055435__w__/ca-en/_acnmedia/PDF-52/Accenture-Why-AI-is-the-Future-of-Growth.pdf

S. M. McKinney et al., "International evaluation of an AI system for breast cancer screening," Nature, vol. 577, no. 7788, pp. 89-94, 2020. [Online]. Available: https://www.nature.com/articles/s41586-019-1799-6

"What role does artificial intelligence play in enhancing supply chain visibility and efficiency?," Psico-Smart. [Online]. Available: https://psico-smart.com/en/blogs/blog-what-role-does-artificial-intelligence-play-in-enhancing-supply-chain-visibility-and-efficiency-88269. [Accessed: Apr. 19, 2024].

Downloads

Published

2024-08-16

How to Cite

Vineeta Dsouza. (2024). LEVERAGING AI FOR ENHANCED EFFICIENCY AND AUTOMATION IN BUSINESS OPERATIONS. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY (IJCET), 15(4), 568-576. https://lib-index.com/index.php/IJCET/article/view/IJCET_15_04_050