Welcome to the largest data & machine learning conference in the world. It's a unique experience for developers, data engineers, data scientists, and decision-makers to collaborate at the intersection of data and ML. Attendees will learn about the latest advances in Apache Spark and ML technologies like TensorFlow, MLflow, PyTorch as well as real-world enterprise AI best practices.
SPARK + AI SUMMIT 2019 KEYNOTE SPEAKERS
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. So far. Apache Spark is the only unified analytics engine that combines large-scale data processing with state-of-the-art machine learning and AI algorithms
The sessions and training at this conference will cover data engineering and data science content, along with best practices for productionizing AI: keeping training data fresh with stream processing, quality monitoring, testing, and serving models at massive scale. The conference will also include deep-dive sessions on popular software frameworks—e.g., TensorFlow, SciKit-Learn, Keras, PyTorch, DeepLearning4J, BigDL, and deep learning pipelines.
Combining Spark + AI topics, this conference is a unique “one-stop shop” for developers, data scientists, and tech executives seeking to apply the best tools in data and AI to build innovative products. Join more than 5,000 engineers, data scientists, AI experts, researchers, and business professionals for three days of in-depth learning and networking.
Apache Spark is a powerful open-source processing engine built around speed, ease of use, and sophisticated analytics. Spark began at UC, Berkeley in 2009, and it is now developed at the vendor-independent Apache Software Foundation. Since its initial release, Spark has seen rapid adoption by enterprises across wide-ranging industries. Internet powerhouses such as Facebook, Hotels.com, Cisco, Microsoft, and Netflix have deployed Spark at massive scale, processing multiple petabytes of data on clusters of more than 8,000 nodes. Apache Spark has also become the largest open-source community in big data, with more than 1,000 contributors from over 250 organizations. Learn more
Spark + AI Summit 2019 begins on April 23, with several one-day training workshops, which will include both instruction and hands-on exercises. Apache Spark 2.X certification is also offered as an exam, with an optional half-day prep course. Training and certification are available as add-ons to the conference pass.
Onsite
Certification Exams
Onsite
Certification Exams
Conveniently located in the South of Market area, Moscone West provides easy access to downtown San Francisco’s many hotels and restaurants — providing opportunity to enjoy the city after the sessions close. Take advantage of easy transportation via BART, MUNI and CalTrain.
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Apache Spark Developers
Data Scientists
AI and Deep Learning Developers
Infrastructure / Site Reliability Engineers
Key Decision Makers
Business Executives
Researchers
Data Practitioners
Key Decision Makers
Business Executives
