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Practical AI
Maximizing AI in Engineering Teams
This chapter examines the crucial dynamics of effective engineering teams, emphasizing collaboration and the importance of MLOps and AIOps in the evolving AI landscape. It discusses the significance of experimentation, data governance, and the integration of AI tools like Codex and Copilot to enhance developer productivity. The conversation also explores the changing perceptions of AI within the programming community and its implications for software development workflows.
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