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Navigating the AI Landscape
This chapter explores the differences between generative AI and traditional machine learning, highlighting the challenges of adopting these technologies in a business context. It emphasizes the necessity of a data-driven approach, practical use cases, and stakeholder involvement for successful implementation. Additionally, it delves into real-world applications, including UPS's logistics innovations and FICO's fraud detection model, showcasing the transformative potential and complexities of machine learning.
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