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AI Driven Enterprise Transformation

Year: 2026

Type: article

Abstract: This white paper introduces a practical framework for integrating artificial intelligence (AI) into enterprise operations. It guides organizations in classifying decisions for automation, building robust data infrastructure, managing operational and regulatory risks, and ensuring effective human oversight. Real-world case studies from JPMorgan Chase, Siemens, Klarna, and HSBC illustrate both the benefits and challenges of AI adoption. The paper concludes with a four-phase roadmap: decision audit, data architecture enhancement, piloting low-risk automation, and scaling with human-in-the-loop governance.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22108382

Author: Shaikh, Maqsood Ahmed

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W7204279478

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