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Summary: AI and product management | Marily Nika (Meta, Google)
- Marily Nika, an AI Product Lead, suggests that all product managers (PMs) will eventually have to be AI PMs in the future to represent AI-centric views even in transforming their career.
- Nika recommends using AI and machine learning with caution, only after due consideration of the problems to be solved by the products and not for mere MVPs. Further, companies should look at sourcing AI tools directly related to their needs and leverage existing data before developing their own models.
- Moreover, Nika advises that PMs need to become comfortable working with research scientists to get ahead in AI PM roles, with skills such as communication, data analysis and collaboration to excel in corporate settings.
- AutoML, Google's no-code AI tool, reflects the move to disseminating AI and machine learning in more accessible ways.
- The article highlights current developments in the AI field and offers recommendations on staying informed about AI developments, usage of ChatGPT, and building AI-enhanced ideas.
- The article also notes the changing demands in PMs on adopting varying design and implementation skills in areas like machine learning algorithms, AI solutions and provides some suggestions on where to learn these skills.
- Nika especially highlights that PMs must focus on building skill sets to understand underlying mechanisms and should not rely solely on AI and machine learning to augment their capabilities
- PMs should also seek training to become more familiar with communicating with data scientists and making strategic decisions while dealing with uncertainty associated with AI and the product development lifecycle.
- In general, the article provides readers with tips on how to launch an AI-driven product by asking themselves if there is a problem that needs to be solved in a smart way while making sure to start from the problem itself.
- Apart from the technical aspects, the article also emphasizes the importance of creating one's own course that reflects the experience and knowledge of the developer and the need to stay updated on new developments in the AI field.
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