
Generative AI is shifting from novelty to necessity, and product managers must develop a strategy that prioritizes its high-value benefits and avoids potential pitfalls.
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Generative AI (genAI) is more than a feature or a benefit. While product organizations have been leveraging large language models (LLMs) in their products for years, genAI’s growing accessibility can enable product teams to develop and deploy novel and valuable solutions to customer problems.
This discussion will delve into how product leaders are thinking about and executing on the promise of genAI for their customers, including the development of AI-enabled capabilities in areas that include personalized recommendations, advanced data insights, and task automation.
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Generative AI is shifting from novelty to necessity, and product managers must develop a strategy that prioritizes its high-value benefits and avoids potential pitfalls.
Product management is starting to use generative AI tools to increase the speed and rigor of the product lifecycle process.
Product management professionals are starting to use generative AI within their own products.
This report describes the current and future impacts of generative AI on the role of product managers.
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