Remove Artificial Inteligence Remove Technical Review Remove User Testing
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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

How product managers can adapt core responsibilities across different organizations and contexts Watch on YouTube TLDR Through his research and practical experience at MasterCard, Nishant Parikh identified 19 key activities that define the role of software product managers. Why study the 19 key activities of software product managers?

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

Product Innovation Educators

How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.

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

Product Innovation Educators

How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.

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5 Machine Learning Lessons for Product Managers

Mind the Product

Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. Could we make the user experience safer?

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

Product Innovation Educators

AI can help in many parts of making a product, from research to writing product plans and documents. 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.

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Why Machine Learning Products Should be Managed Differently

Mind the Product

Machine learning (ML) based products have particular characteristics and challenges, from data quality to counterfactual problems and explainability. Perhaps you already have a number of data products you use to segment customers, predict prices or improve your product in other ways. ML Challenges.

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391: Product VP of Wyze uses community for product innovation and you can too – with Steve McIrvin

Product Innovation Educators

How product managers can get customer insights from a community to create a competitive advantage. I went back to the company I got the camera from and learned they also had a robotic vacuum, complete with LIDAR, which I got on a Cyber Monday sale for $200. . We’re pushing the boundaries of computer vision and machine learning.