19min chapter

Data Engineering Podcast cover image

When And How To Conduct An AI Program

Data Engineering Podcast

CHAPTER

Navigating the Complexities of AI Implementation

This chapter explores the challenges and considerations involved in implementing AI, emphasizing the importance of quality data, defining value, and prioritizing business problems over model selection. It discusses the need for operational shifts, customer trust, and safeguarding against biases in AI applications. The conversation also delves into strategies for integrating AI systems into existing data infrastructure, evaluating prebuilt AI models, and understanding when to utilize in-house solutions versus third-party services.

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