AI Metrics: What to Watch with Your AI product

AI product managers must track metrics that go beyond traditional apps. Measuring success requires understanding both AI-specific performance (like model accuracy) and broader business impact. Knowing which metrics to prioritize helps you deliver better outcomes, ensuring your AI product is both effective and aligned with business goals.

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Marily Nika

Gen AI PM Lead @ Google | ex-Meta, Fellow @ Harvard | TED AI Speaker | 40u40

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Based in Silicon Valley, Dr. Marily Nika is an award-winning AI Product Management leader & one of the world's best AI educators, with 12+ years of experience at Google & Meta, with a PhD in Machine Learning. Featured in TechCrunch, executive Fellow at Harvard, TED AI Presenter.

Marily created the first (and best) AI Product Management Certification on Maven. Marily is also a keynote speaker (TED AI / 3 x TEDx) and has been recognized for her contributions in AI & tech several times: Amplitude most influencial product leader, medal of Outstanding Achievement, WISE Influence Award, 2020's Top 100 Women in tech, Emerging Leader Award, 2021's 40 under 40 list.

Marily is also an Executive Fellow at Harvard Business School where she teaches AI Product Management.

She has taught over 8k students on Maven and offers these courses:

✉️ hello@aiproduct.com

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