Turing Award Winner,
Pardee Professor of Computer Science,
Emeritus at the University of California at Berkeley
Co-founder & Chief Technologist,
Original Creator of Apache Spark & MLflow
VP of Data Science and Analytics, Netflix
AI Researcher at Stanford University,
Co-founder of Black in AI
Co-founder & Chief Architect, Databricks
Top Contributor & Original Creator of Apache Spark
Co-founder & CEO,
Original Creator of Apache Spark
Senior Director, Applied AI Research,
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.
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, monitoring quality, testing, and serving models at massive scale. We will also have deep dive sessions on popular software frameworks—e.g., TensorFlow, SciKit-Learn, Keras, PyTorch, DeepLearning4J, BigDL, and Deep Learning Pipelines.
With Spark + AI topics together, this conference is the unique “one-stop shop” for developers, data scientists, and tech-executives to learn how to practically apply the best tools in data and AI to build innovative products. So 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. Started at UC Berkeley in 2009, it is now developed at the vendor-independent Apache Software Foundation. Since its release, Spark has seen rapid adoption by enterprises across a wide range of 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 over 8,000 nodes. Apache Spark has also become the largest open source community in big data, with over 1000 contributors from 250+ organizations. Learn more
Spark + AI Summit 2019 begins on April 23 with several 1-day training workshops, which include a mix of instruction and hands-on exercises. Apache Spark 2.X certification is also offered as an exam with optional 1/2-day prep course. Training or certification is purchased as an add-on to the Conference Pass.
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.LEARN MORE + SEE HOTEL AND AIRFARE, CAR RENTAL DEALS
Apache Spark Developers
AI and Deep Learning Developers
Infrastructure / Site Reliability Engineers
Key Decision Makers
Key Decision Makers