Remove Data Collection Remove Data Quality Remove Strategy Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Machine learning adds uncertainty. AI product estimation strategies.

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5 Types of Costly Data Waste and How to Avoid Them

CIO Business Intelligence

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . And the problem is not just a matter of too many copies of data. Reducing data waste.

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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. Using data, user research and human-centered design to effectively address these considerations can help you develop a clear modernization strategy that objectively drives your priorities, backlogs and roadmaps.

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Product Management for AI

Domino Data Lab

The person who sets strategy, defines the rules of the market game you’re playing, and they work together with all these different teams and functions within the business to prioritize projects and execute on a roadmap to deliver those. The biggest time sink is often around data collection, labeling and cleaning.