Strategic AI implementation: a framework for business adoption

Van Den Berg, Daan (A.A. 2024/2025) Strategic AI implementation: a framework for business adoption. Tesi di Laurea in Managerial decision making, Luiss Guido Carli, relatore Luigi Marengo, pp. 50. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

The fundamentals of artificial intelligence. What constitutes AI? What defines an algorithm? How to build an AI model? What is generative AI? Are algorithms biased? Can AI algorithms become self-learning? Is AI dangerous? What is the current state of artificial general intelligence? Where to get started with AI? Beginning the AI journey with clear intent. Laying the groundwork for AI adoption. Predictive AI. Data management. Generative AI. Matching AI capabilities to business needs. Multimodality. Ai within businesses. Defining the AI business case. AI transition timeframe. AI transition of predictive AI. AI transition of generative AI. The AI-first organisation. Ai jobs. Dominance of AI. Cooperation between man and machine. Organisation structure of the future. The AI project plan. AI strategy. AI solutions. AI governance. EU artificial intelligence act. AI cyber security.

References

Bibliografia: pp. 47-50.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Management, English language (LM-77)
Chair: Managerial decision making
Thesis Supervisor: Marengo, Luigi
Thesis Co-Supervisor: Collazzo, Pablo
Academic Year: 2024/2025
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 08 Jan 2026 14:47
Last Modified: 08 Jan 2026 14:47
URI: https://tesi.luiss.it/id/eprint/44636

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