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Predictive vs. Generative: Understanding Enterprise AI | Anand Mahurkar (Findability Sciences)

Founder Thesis

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Navigating Enterprise AI Solutions

This chapter explores the development and implementation of AI solutions tailored for enterprises, particularly focusing on predictive and interpretative tasks. It introduces the CUPP framework for integrating diverse data sources while addressing the challenges of adaptability in AI systems across different industries, notably hospitality and debt collection. The discussion encompasses the evolution of enterprise AI, highlighting the shift from custom-built solutions to integrated AI functionalities, along with the importance of decision-making in leveraging AI insights effectively.

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