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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

He emphasizes that these activities vary based on context (large vs. small organizations, B2B vs. B2C, Agile vs. Waterfall). The discussion reveals how product management has evolved since 1931 and highlights the importance of clear role definition to prevent job frustration.

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Unlocking Efficiency: Harnessing the Power of Generative AI in Business Operations

The Product Coalition

However, a new era of possibilities has dawned with the emergence of Generative AI (GenAI). A recent study by Gartner revealed that more than 80% of enterprises will have used Generative AI APIs or deployed Generative AI-enabled applications by 2026, highlighting its potential to transform various functions.

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Y Oslo 2024: When It Comes to Discovery, Something is Better Than Nothing

Product Talk

This comes from the Agile Manifesto , reducing our batch sizes. How we build might change with generative AI. Maybe how we synthesize customer needs might change with generative AI, but those broad buckets, I think, are fairly stable. I’m really excited about generative AI.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower - Product Management

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense.

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529: Is this the best AI-powered market research approach? – with Carmel Dibner

Product Innovation Educators

AI Throughout the Innovation Funnel Carmel described AI as providing product teams with “different lenses” to view customer needs. Unlike traditional research projects that often require extensive planning and formal structure, AI-powered approaches offer more agility and flexibility.

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Continuous Strategizing

Roman Pichler

New technologies alone introduce change and uncertainty—think of the Internet of Things, Blockchain, machine learning, and generative AI, for example. Note that this perspective is in line with an agile development framework like Scrum. For digital products, this is hardly ever the case in my experience.