Unlock The Probabilistic Shift: Master AI Stakeholder Management!

Unlock The Probabilistic Shift: Master AI Stakeholder Management!

Discover the critical 'Probabilistic Shift' in AI Product Management that every AI PM needs to understand for effective stakeholder management. This video dives deep into why traditional deterministic approaches fall short with AI products and how to embrace probabilistic thinking to succeed. Learn practical strategies for aligning expectations, communicating uncertainty, and fostering collaboration with diverse stakeholders in the complex world of AI development. From navigating technical risks to managing ethical considerations, we break down real-world scenarios to equip you with the tools for transformative AI project leadership. Perfect for aspiring and experienced AI Product Managers looking to elevate their career growth and product strategy skills. Don't just manage AI projects, lead them with confidence!#AIProductManagement #AIPM #StakeholderManagement #ProbabilisticShift #ProductStrategy

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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...

7 Loka 6min

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

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

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...

5 Loka 8min

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...

29 Syys 6min

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...

27 Syys 7min

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

Data Flywheels: Building Defensible Moats for AI Products

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

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