Product managers and domain experts play a crucial role in AI development as they provide invaluable insights into customer needs and product decisions, which cannot be replaced by AI engineering. Engineering is more about picking the right product direction rather than just good engineering. The last difficult-to-automate task is making sound product decisions. Ideally, AI engineers should embody product thinking along with ML knowledge and engineering skills. In a team, the PM and domain expert are essential to provide inputs for engineers, as they translate requirements into current capabilities. The AI engineer is equipped to understand the state of the art in AI models and can guide the team based on their product-focused mindset. The presence of PMs and domain experts to understand customer problems remains crucial in the age of AI development.
The World’s Fair is officially sold out! Thanks for all the support and stay tuned for recaps of all the great goings on in this very special celebration of the AI Engineer!
Longtime listeners will remember the fan favorite Raza Habib, CEO of HumanLoop, on the pod:
Well, he’s caught the podcasting bug and is now flipping the tables on swyx!
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High Agency Pod Description
In this episode, I chatted with Shawn Wang about his upcoming AI engineering conference and what an AI engineer really is. It's been a year since he penned the viral essay "Rise of the AI Engineer' and we discuss if this new role will be enduring, the make up of the optimal AI team and trends in machine learning.
Timestamps
00:00 - Introduction and background on Shawn Wang (Swyx)03:45 - Reflecting on the "Rise of the AI Engineer" essay07:30 - Skills and characteristics of AI Engineers12:15 - Team composition for AI products16:30 - Vertical vs. horizontal AI startups23:00 - Advice for AI product creators and leaders28:15 - Tools and buying vs. building for AI products33:30 - Key trends in AI research and development41:00 - Closing thoughts and information on the AI Engineer World Fair Summit
Video
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