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Artificial Intelligence in Business

Artificial Intelligence

Artificial Intelligence in Business

Andrew Schwarz, PhD Robert Crossler, PhD

AI delivers value only when it is aligned with business strategy, and this resource shows students how to make that happen. Built for MIS and upper-level business students, it covers the real technologies behind AI, including rule-based systems, predictive AI, computer vision, natural language processing, autonomous AI, and large language models, along with hands-on prompt engineering. Students then anchor that knowledge in the Enterprise Architecture framework, learning how data architecture, governance, people, and process transformation fit together to deploy AI at scale. With dedicated coverage of ethics, risk management, and agentic AI, students leave knowing not just how to use AI, but how to architect it into a business.

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Chapter 1: Introduction to AI in Business and Strategy Chapter 2: Enterprise Architecture Framework for AI Alignment and Deployment Chapter 3: Data Architecture and Governance for AI Chapter 4: AI Algorithms and Learning Techniques Chapter 5: Rule-based AI (Expert systems) Chapter 6: Predictive AI Chapter 7: Computer Vision Chapter 8: Natural Language Processing Chapter 9: Autonomous AI Chapter 10: Introduction to Large Language Models and Generative AI Chapter 11: Introduction to Prompt Engineering Chapter 12: Advancements in Prompt Engineering Chapter 13: People, Organization, and AI-Driven Process Transformation Chapter 14: AI Governance, Ethics, and Risk Management Chapter 15: Future Trends and Conclusion

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