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World Journal of Advanced Research and Reviews
Article . 2024 . Peer-reviewed
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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Revolutionizing business consulting with generative AI: Exploring transformative models for strategic decision-making, innovation, and operational excellence

Authors: Souratn Jain;

Revolutionizing business consulting with generative AI: Exploring transformative models for strategic decision-making, innovation, and operational excellence

Abstract

Automotive AI is at the forefront of rapidly disrupting the business consulting industry by revitalizing core issues in strategy formulation and management, innovation, and process improvement. This technology helps consultants solve problems by dealing with large amounts of material, thinking outside the box regarding business solutions, and optimizing processes at a higher level than before. Businesses can benefit from AI technology because AI models can make a deeper data analysis, automate processes, improve decision-making, and provide the setting for future improvement. In this paper, the author looks at the essence of applying generative AI in business consultants, particularly analyzing its value for enhancing strategic execution and organizational performance. The study focuses on case analyses and interviews with 20 consulting practitioners on the effective and ineffective practices of applying AI. Research indicates that although generative AI POSs have enormous value for enhancing consulting models, there are challenges that organizations can observe, such as ethical issues and the requirement for specialized knowledge. This paper will make general recommendations for organizations interested in deploying AI at its full potential, discussing the proper and improper ways of AI integration.

Related Organizations
Keywords

AI Revolution, Generative AI, AI Solutions, AI Adoption, Ethical Issues

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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gold