Data-Driven vs Data-Informed: Why AI Product Managers MUST Know This!

Data-Driven vs Data-Informed: Why AI Product Managers MUST Know This!

Unlock the critical distinction between Data-Driven and Data-Informed decision-making, essential for every AI Product Manager. In this cinematic explainer, we dive deep into how understanding these approaches can dramatically impact your product strategy, AI product development, and overall career growth in product management. Learn why simply relying on data isn't enough, and how thoughtful interpretation leads to superior outcomes. We'll explore real-world scenarios and provide actionable insights for PMs navigating complex AI product landscapes.Are you making the right decisions? Discover the nuances that separate good product managers from great ones. This video is crucial for anyone in tech looking to enhance their product strategy, improve decision-making processes, and accelerate their PM career. From identifying key metrics to interpreting insights, master the art of leveraging data intelligently. Understand the pitfalls of purely data-driven choices and the power of integrating qualitative understanding with quantitative facts. This isn't just theory; it's practical wisdom for real-world AI product success.Don't forget to like, share, and comment below with your thoughts on Data-Driven vs. Data-Informed! What's your approach?#DataDriven #DataInformed #AIProductManagement #ProductStrategy #ProductManagement

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Measuring Quality in GenAI: Beyond Accuracy

Measuring Quality in GenAI: Beyond Accuracy

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

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

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

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

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...

25 Syys 6min

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...

21 Syys 7min

Model Drift: Watch out AI's Silent Killer

Model Drift: Watch out AI's Silent Killer

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...

19 Syys 6min

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...

17 Syys 5min

When AI Does What We Asked, Not What We Meant

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AI systems are getting better at optimizing goals, but are those goals actually aligned with human values?In this episode, we explore the AI Value Alignment Problem: the gap between what an AI system ...

14 Syys 4min

The Blind Spot: Why AI Observability is Critical for Product Managers

The Blind Spot: Why AI Observability is Critical for Product Managers

Uncover the critical 'blind spot' in AI product development! This video reveals why AI Observability is non-negotiable for modern Product Managers, especially those navigating the complex world of AI ...

23 Kesä 5min

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