Using Machine Learning for Serverless Analytics

Using Machine Learning for Serverless Analytics

AWS Summit, Berlin, February 27th, 2019

Serverless is not just functions! The same approach can be used for different use cases, such as building batch or real-time analytics powered by fully-managed machine learning service. Extracting insights and actionable information from data requires a broad array of technology that can work with data in an efficient, scalable, and cost-effective way. In this session, we’ll implement step-by-step a serverless analytics platform that can process static content (such as files) and real-time data (such as video, audio, application logs, website clickstreams, and IoT telemetry), enrich data using API-driven machine learning services, query data instantly, and build visualizations to perform ad-hoc analysis.

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Danilo Poccia

February 27, 2019
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