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510: How to use these AI tools to create a product brief – with Brian Collard

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Manage episode 445964189 series 2686265
Inhoud geleverd door ProdMgmtTalk. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door ProdMgmtTalk of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Global Product Management Talk is pleased to bring you the next episode of... Product Mastery Now with host Chad McAllister, PhD. The podcast is all about helping people involved in innovation and managing products become more successful, grow their careers, and STANDOUT from their peers. About the Episode: In this episode, I’m interviewing Brian Collard, an expert in managing big projects and plans for global companies. Brian has been working for 15 years in different industries like finance, healthcare, and technology. We’re talking about how artificial intelligence (AI) is changing the way we manage products and come up with new ideas. As people who manage products, lead teams, or come up with new ideas, we’re right in the middle of this AI revolution. We need to figure out how to use AI to make products that customers will love, while also dealing with all the new things AI brings to the table. AI is changing how we manage products and come up with new ideas, giving us new tools to work faster and be more creative.AI can help in many parts of making a product, from research to writing product plans and documents.To use AI well in product management, we need to know how to ask it questions (called prompt engineering), balance AI ideas with human know-how, and always double-check AI’s work.AI can make tasks faster, but it’s important to keep people involved and use AI to help, not replace, our usual ways of working.The future of product management will involve using more AI tools, like advanced language models and creating fake data for testing. We’ll need to keep learning as AI keeps getting better.
  continue reading

300 afleveringen

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iconDelen
 
Manage episode 445964189 series 2686265
Inhoud geleverd door ProdMgmtTalk. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door ProdMgmtTalk of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Global Product Management Talk is pleased to bring you the next episode of... Product Mastery Now with host Chad McAllister, PhD. The podcast is all about helping people involved in innovation and managing products become more successful, grow their careers, and STANDOUT from their peers. About the Episode: In this episode, I’m interviewing Brian Collard, an expert in managing big projects and plans for global companies. Brian has been working for 15 years in different industries like finance, healthcare, and technology. We’re talking about how artificial intelligence (AI) is changing the way we manage products and come up with new ideas. As people who manage products, lead teams, or come up with new ideas, we’re right in the middle of this AI revolution. We need to figure out how to use AI to make products that customers will love, while also dealing with all the new things AI brings to the table. AI is changing how we manage products and come up with new ideas, giving us new tools to work faster and be more creative.AI can help in many parts of making a product, from research to writing product plans and documents.To use AI well in product management, we need to know how to ask it questions (called prompt engineering), balance AI ideas with human know-how, and always double-check AI’s work.AI can make tasks faster, but it’s important to keep people involved and use AI to help, not replace, our usual ways of working.The future of product management will involve using more AI tools, like advanced language models and creating fake data for testing. We’ll need to keep learning as AI keeps getting better.
  continue reading

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