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What Product Leaders Are Getting Wrong About Generative AI

Generative AI is reshaping industries at an unprecedented pace, yet many product leaders are missing the mark in their implementation. While 92% of Fortune 500 companies are already implementing GenAI, there's a concerning trend of using the technology in ways that don't align with core user needs. This guide offers timely insights from three top product leaders, highlighting the pitfalls to avoid and the strategies to follow as you navigate this new world of Generative AI.

What You'll Learn:

Insights on Avoiding Common AI Implementation Mistakes

Learn about the pitfalls to avoid when integrating AI into your products, ensuring a seamless and effective adoption process.

Strategies for Ensuring AI Adds Real Value to Your Products

Discover how to leverage AI's capabilities to enhance user experience and deliver meaningful solutions that meet real-world needs.

Understanding the Strengths and Weaknesses of Generative AI

Gain a comprehensive understanding of Generative AI's strengths and limitations, and learn how to navigate internal and external pressures to integrate AI thoughtfully, rather than for the sake of it.

Key Considerations for Ongoing Learning in the AI Landscape

Stay ahead of the curve with tips on continuous learning and adapting to the rapidly evolving AI technology landscape.

About The Experts

Brad Nemer

VP of Product Development at Hypermatter and an educator at Stanford School and IIT Institute of Design. Having pioneered the world's first MBA + Master of Design program, Nemer is fluent across the entire product development lifecycle – from strategy to team leadership to user stories and rapid prototyping.

Noble Ackerson

Award-winning AI product leader and ML engineer, Director of Product at Ventera, and Chief Technology Officer at the American Board of Design & Research. With over 15 years of experience in product management, Noble has coached startups and established organizations in creating sustainable, repeatable, and successful products that achieve their purpose and vision.

Jayden Ziegler

VP of Product at Alembic Technologies, an AI marketing analytics startup. He's also an Adjunct Professor at Stanford University, where he teaches on AI and language. Previously, he worked at Apple and Google. Jayden holds a PhD in psychology from Harvard University and a BA from Princeton University.


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