Artificial Intelligence in Business: Machines and Management Case Study

Artificial Intelligence in Business: Machines and Management

This technical note, authored by Timothy M. Laseter, Anne Frazer, and Benjamin Boatright, delves into the practical applications and strategic considerations of Artificial Intelligence (AI) within the business landscape. Published on October 31, 2022, the case study, identified by product number UV8603, offers a comprehensive overview of AI, with a particular focus on how machine learning is utilized to build intelligent systems.

Understanding AI and Machine Learning

The document begins by demystifying AI and its core component, machine learning. It explores the fundamental concepts, providing a foundation for understanding how these technologies operate and are integrated into business processes. The note aims to equip readers with a clear grasp of AI's capabilities and its role in modern business operations.

Schools of Thought on AI's Potential

Two distinct schools of thought regarding AI's future potential are presented. This section encourages critical thinking about the transformative power of AI, examining both optimistic and cautious perspectives on its impact on industries and society. It prompts a discussion on the long-term implications and the evolving nature of AI.

Roles for AI in Business

The note outlines various roles that AI can play within a business context. This includes enhancing operational efficiency, improving customer experiences, driving innovation, and enabling data-driven decision-making. It highlights how AI can be a strategic asset, contributing to competitive advantage and business growth.

Collaboration Between Employees and AI

A significant portion of the content focuses on the crucial aspect of human-AI collaboration. It explores how employees and AI systems can work together effectively, leveraging their respective strengths to achieve better outcomes. This section emphasizes the importance of designing workflows and training programs that foster seamless integration and mutual augmentation.

Responsible AI Implementation

Addressing the ethical considerations surrounding AI, the document discusses one approach to responsible AI implementation. This involves ensuring fairness, transparency, accountability, and privacy in the development and deployment of AI systems. It underscores the need for businesses to adopt ethical frameworks to mitigate risks and build trust.

Product Details and Purchasing Information

Product Information:

Item: UV8603
Pages: 9
Publication Date: October 31, 2022
Source: Darden School of Business
Related Topics: AI and machine learning

Pricing and Formats:

The case study is available for purchase at $8.95 USD. Various formats are offered, including:

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Available languages include English, Spanish, Chinese, Danish, French, German, Japanese, Portuguese, Polish, Russian, Slovak, and Traditional Chinese.

Copyright Permissions:

Copyrighted PDFs are for individual use only. To share with a team, additional copies must be purchased. Quantity pricing is available for bulk purchases:

1-4 Copies: List Price
5-10 Copies: $8.75
11-49 Copies: $8.50
50-499 Copies: $8.25
500+ Copies: $8.00

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Educator Resources

Educators can register as Premium Educators at hbsp.harvard.edu to plan courses and offer students academic discounts of up to 50%. The note is suitable for Darden's second-year Digital Operations course or any module covering AI.

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Artificial Intelligence in Business: Machines and Management Case Study