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Deploying Real-Time Decision Services Using Redis (Tague Griffith)

81 views · Published 27 September 2018 · 26:29 · Indexed 30 October 2026

Channel: Databricks · 2018 · Science & Technology

Tague Griffith, the Head of Developer Advocacy at Redis Labs, talks about most of the energy and attention in machine learning focused on the model training side of the problem. Multiple frameworks, in every language, provide developers with access to a host of data manipulation and training algorithms, but until recently developers had virtually no frameworks to build out predictive engines from trained ML models. Most developers resorted to building custom applications, but building highly available, highly performant applications is difficult.

Learn more here: https://databricks.com/session/deploying-real-time-decision-services-using-redis

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Deploying Real-Time Decision Services Using Redis (Tague Griffith)

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