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AI Product Management Frameworks in Practice

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AI Product Management Frameworks in Practice

Real-world case studies for building, launching, and scaling AI products

Nilesh Dhage,

15 min. de leitura
8 Ideias Fundamentais
Áudio & Texto

Sobre o que é?

Product management looks different in the AI era. Learn the new rules for continuous growth and user value.

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Recommendation

As product managers across industries enter a frantic race to scale new AI use cases, AI product leader Nilesh Dhage aims to guide them through this period of transformation. Learn how to ensure you have the right data to power your AI products, communicate your AI product vision across contexts, and guide teams toward leveraging network effects and responsible AI use. By 2030, the product management landscape will look very different, says Dhage. Gain the AI literacy superpowers needed to outpace your competitionand craft effective metrics that communicate tangible user benefits.

Summary

Mitigate risks as an AI product manager by embracing the “Data-First Design” principle.

According to McKinsey’s 2025 State of AI survey, 72% of organizations have already begun leveraging AI in an attempt to optimize one or more business functions. However, MIT research shows that there’s actually a 95% failure rate for corporate AI pilots. The vast majority — 87% — of AI projects that fail do so because of data-related problems rather than problems with the models themselves. Embrace what Bala Iyer, an instructor with Harvard University’s Product Development with AI program, refers to as the Data-First Design principle: You must audit your data before building your product. If you fail to take this crucial step, you risk wasting engineers’ time, increasing model bias, and exposing yourself to regulatory and legal risks.

Focus not only on cleaning and labeling raw data, but also on creating structured data pipelines that reveal how users respond to your AI tools’ outputs and on gathering customer behavioral data. Confirm you have enough data to train, validate, and test your model, and ...

About the Author

Nilesh Dhage is a technology strategist and an experienced AI product leader.

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