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Join 4,000 of the top developers, data scientists, researchers and business executives in the Apache Spark™ ecosystem to share strategies and best practices, and to learn how leading enterprise users are leveraging Spark to solve big data problems. The sessions and training at this year's Spark+AI Summit will cover great data engineering and data science content along with best practices for productionizing AI: keeping training data fresh with stream processing, monitoring quality, testing, and serving models at massive scale.

Data and AI need to be unified: the best AI applications require massive amounts of constantly updated training data to build state-of-the-art models. Apache Spark™ has been the only unified analytics engine that combines large-scale data processing with the execution of state-of-the-art machine learning and AI algorithms.

In addition to the over 180 session talks at this year's Spark+AI Summit, we are thrilled to announce the first round of keynote speakers. Keynoters this year will focus not only on the latest developments and use cases around Apache Spark but also how they are putting AI to use.

Register today with code "DSC20" and save 20%.

Among this year's keynoters:

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Matei Zaharia
An Original Creator of Apache Spark

Marc Andreessen 
Co-founder and General Partner at 
Andreessen Horowitz

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Ali Ghodsi
Co-founder and CEO Databricks

Dawn Song
Professor, UC Berkeley

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Andrej Karpathy
Director of AI, Tesla

Dominique Brezinski
Principal Engineer, Apple

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This is just the beginning of the packed agenda. Stay tuned to learn more about the additional keynote speakers!

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