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ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2026
License: CC BY
Data sources: Datacite
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Generative AI in Business, Finance, and Digital Transformation: A Narrative Journey

Authors: MOHAMMED, Dr. RAFFI;

Generative AI in Business, Finance, and Digital Transformation: A Narrative Journey

Abstract

Abstract: Generative AI is redefining business models, financial systems, and digital transformation strategies by automating knowledge work, enhancing decision-making, and enabling personalized customer experiences at scale. This chapter explores enterprise adoption of generative systems across sectors including banking, insurance, supply chain, marketing, and human resources. Applications discussed include financial forecasting, risk modeling, fraud detection, automated reporting, personalized product recommendations, and AI-driven customer service. The chapter also highlights how generative design tools accelerate new product development and innovation cycles. It evaluates the socio-economic impact of automation, workforce augmentation, and organizational redesign in the AI-driven enterprise. Challenges such as regulatory compliance, data governance, model transparency, and AI ethics in corporate environments are critically examined. Through case studies of leading global companies, this chapter outlines best practices for integrating generative AI into enterprise ecosystems. Keywords: Digital Transformation; FinTech AI; Enterprise LLMs; Business Automation; Predictive Analytics; Innovation Management

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    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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
Green