AI Models: Why Accuracy Isn't Enough for Product Managers!

AI Models: Why Accuracy Isn't Enough for Product Managers!

Product managers need to evaluate AI models effectively, but focusing solely on accuracy can be a significant pitfall. This video dives deep into the critical metrics and considerations for AI model evaluation beyond just accuracy, empowering AI PMs to build more robust, ethical, and successful AI products. Discover the real challenges and opportunities in AI product development.In this cinematic explainer, we explore why traditional accuracy metrics often fall short in real-world applications. We discuss what other factors, like fairness, interpretability, robustness, latency, and cost, truly impact user experience and business outcomes. Learn how to strategically assess AI models to ensure they align with your product vision and user needs. This is crucial for anyone building AI products or navigating a tech career in product management. We’ll look at practical examples and frameworks product managers can use to make informed decisions and drive product success.Don't miss out on essential insights for your product management journey!🚀 Subscribe: https://www.youtube.com/@aiproductmanagement?sub_confirmation=1#AIModels #ProductManagement #AIPM #TechCareer #AIProductDevelopment

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Your Industry Knowledge | AI Product Management - Episode 9

Your Industry Knowledge | AI Product Management - Episode 9

Spotify Episode #9 — Your Industry KnowledgeYour Industry Knowledge | AI Product Management — Episode 9In AI Product Management, knowing the technology isn’t enough. Your industry knowledge can become...

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Establish a Launch War Room: How AI Product Managers Orchestrate Successful Launches

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Launching an AI product is rarely just about hitting the “release” button. The real work begins when multiple teams need to move together, decisions need to happen quickly, and unexpected issues start...

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Measuring Quality in GenAI: Beyond Accuracy

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How do you measure whether a Generative AI product is actually good?Traditional software gives us relatively clear metrics: accuracy, latency, uptime, conversion, and errors. GenAI changes the equatio...

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Jobs to Be Done in AI: Stop Building Features, Start Solving the Job

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AI products are changing faster than traditional product management playbooks can keep up. In this episode of the AI Product Management Podcast, we explore how the Jobs to Be Done (JTBD) framework can...

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From Zero to AI PM: How to Build an AI Product Management Career

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What does it really take to become an AI Product Manager when you're starting from zero?AI is changing product management faster than most organizations can adapt. But becoming an AI PM isn't simply a...

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Occam’s Razor: The Product Manager’s Toolkit for Better Decisions

Occam’s Razor: The Product Manager’s Toolkit for Better Decisions

Occam’s Razor: The Product Manager’s Toolkit for Better DecisionsProduct management is full of complexity — competing priorities, conflicting data, stakeholder opinions, customer demands, technical co...

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Model Drift: Watch out AI's Silent Killer

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Model Drift: Watch Out — AI’s Silent KillerAI systems can look like they’re working perfectly while quietly becoming less accurate, less relevant, and less reliable over time.In this episode, we explo...

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Data Flywheels: Building Defensible Moats for AI Products

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AI products can be copied- but the data, feedback loops, and learning systems behind them can create a moat that is much harder to replicate.In this episode, we explore data flywheels and how AI produ...

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