Productionizing Machine Learning with a Microservices Architecture

Deploying machine learning models from training to production requires companies to deal with the complexity of moving workloads through different pipelines and re-writing code from scratch. Yaron Haviv will explain how to automatically transfer machine learning models to production by running Spark as a microservice for inferencing, achieving auto-scaling, versioning and security. He will demonstrate how to feed feature vectors aggregated from multivariate real-time and historical data to machine learning models and serverless functions for real-time dashboards and actions. About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business. Read more here: https://databricks.com/product/unifie... Connect with us: Website: https://databricks.com Facebook:   / databricksinc   Twitter:   / databricks   LinkedIn:   / databricks   Instagram:   / databricksinc   Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...