Remove Data Analytics Remove Deep Learning Remove Experimentation 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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Data for Enterprise AI: at the very forefront of innovation

Cloudera

It’s been a year filled with disruption and uncertainty. Businesses had to literally switch operations, and enable better collaboration and access to data in an instant — while streamlining processes to accommodate a whole new way of doing things. One day we were all going to the office, and the next we were working from home.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. Second, a trend we’ve observed in other contexts is that “AI” tends to morph into a kind of metonym that gets used to describe the intersection of data, analytics, and ML.

IoT 20