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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

PMs can leverage that intuition to calibrate the tradeoffs of various approaches given their company’s data “and how it can be used to solve customer problems.” The last step for a PM is to “use derived data from the system to build new products” as this provides another way to ensure ROI across the business.

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Human-centered design and data-driven insights elevate precision in government IT modernization

IBM Big Data Hub

Government executives face several uncertainties as they embark on their journeys of modernization. The team implemented a phased approach to the human-centered design assessment, which led to a data-driven roadmap of recommended technological enhancements.

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Product Management for AI

Domino Data Lab

And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. If you have a user facing product, the data that you had when you prototype the model may be very different from what you actually have in production. The biggest time sink is often around data collection, labeling and cleaning.