Remove Data Collection Remove Deep Learning Remove Optimization 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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An AI Data Platform for All Seasons

Rocket-Powered Data Science

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win! In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

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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 How could that make sense?

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Product Management for AI

Domino Data Lab

It used deep learning to build an automated question answering system and a knowledge base based on that information. It is like the Google knowledge graph with all those smart, intelligent cards and the ability to create your own cards out of your own data.