Remove Data Quality Remove Deep Learning Remove Metrics Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

For machine learning systems used in consumer internet companies, near continuous retraining happens throughout the day, processing billions of new input-output pairs. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

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Data Science, Past & Future

Domino Data Lab

We’ve got this complex landscape, tons of data sharing, an economy of data, external data, tons of mobile devices. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. You can take TensorFlow.js You know what?

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Product Management for AI

Domino Data Lab

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.