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Embrace Emotion and Expertise for AI Success
Adopting AI and large language models (LLMs) in companies is primarily driven by emotional factors, despite concerns over cost, security, and privacy. Early adopters tackled these challenges effectively, paving the way for more organizations to follow suit. Successful AI platform teams emerge from a blend of product engineering and data science expertise, focusing on creating standout products and evolving into enabling teams for subsequent projects. As AI integration grows, hiring proficient product engineers is crucial, as they drive the initial strategic direction and development of AI initiatives.