Experimentation Machine Learning Uncertainty 
O'Reilly on Data
MARCH 31, 2020
If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.
Rocket-Powered Data Science
FEBRUARY 15, 2023
Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). encouraging and rewarding) a culture of experimentation across the organization. there can be objective assessments of failure, lessons learned, and subsequent improvements), then friction can be minimized, failure can be alleviated, and innovation can flourish.
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Domino Data Lab
MAY 15, 2019
Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One. Over the years, I have listened to data scientists and machine learning (ML) researchers relay various pain points and challenges that impede their work. Product Management for Machine Learning.
O'Reilly on Data
MARCH 25, 2025
People have been building data products and machine learning products for the past couple of decades. ML apps needed to be developed through cycles of experimentation (as were no longer able to reason about how theyll behave based on software specs). LLM-powered software amplifies this uncertainty further.
O'Reilly on Data
SEPTEMBER 15, 2020
Technical competence results in reduced risk and uncertainty. Results are typically achieved through a scientific process of discovery, exploration, and experimentation, and these processes are not always predictable. There’s a lot of overlap between these factors. Conclusion.
O'Reilly on Data
OCTOBER 13, 2020
Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. We can’t wait to see what you build!
CIO Business Intelligence
NOVEMBER 9, 2023
The pattern for success at learning how to create value safely and responsibly is a mindful culture of experimentation and thoughtful “learning by doing.” He specializes in removing fear, uncertainty, and doubt from strategic decision-making through empirical data and market sensing.
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