Remove Data Quality Remove ROI Remove Testing Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. Underneath this uncertainty lies further uncertainty in the development process itself.

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Integrated Customer Engagement: The Need of the Hour!

bridgei2i

The current COVID-19 pandemic has spread waves of uncertainty across businesses and their customer base. These could also be analyzing projected RoI vs Alignment of these initiatives to operational and strategic objectives or zero-based budgeting. However, this crisis will test the progress made.

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Product Management for AI

Domino Data Lab

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end. It is similar to R&D. Transcript.