Most failures in data-heavy products aren’t technical.They’re product management failures — especially around data ownership, value framing, and uncertainty.Curious how others have experienced this.

Most failures in data-heavy products aren’t technical. They’re product management failures — especially around data ownership, value framing, and uncertainty. Curious how others have experienced this.

The most common product management mistakes in data-heavy products

Welcome to the GenAI Automotive Podcast, where we delve into the transformative impact of Generative AI on the automotive industry. Each episode features experts sharing their journeys, key responsibilities, and insights on recent advancements and industry evolution. We explore practical applications of GenAI, including vehicle design, prototyping, and customer experience enhancements, alongside compelling case studies and success stories. Our discussions also address the technical challenges, ethical considerations, and future trends shaping the industry.
YouTube: @GenAIAutomotivePodcast

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Welcome to the GenAI Automotive Podcast, where we delve into the transformative impact of Generative AI on the automotive industry. Each episode features experts sharing their journeys, key responsibilities, and insights on recent advancements and industry evolution. We explore practical applications of GenAI, including vehicle design, prototyping, and customer experience enhancements, alongside compelling case studies and success stories. Our discussions also address the technical challenges, ethical considerations, and future trends shaping the industry. YouTube: @GenAIAutomotivePodcast

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The most common product management mistakes in data-heavy products

The most common product management mistakes in data-heavy products