April 24, 2019 - April 25, 2019 | 10:00 am - 8:00 pm | Event Signup | San Francisco, CA
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. Stop by our booth #216!