Pipelineai: Data Science on AWS

PipelineAI, founded by Chris Fregly, is a real-time enterprise AI platform designed to continuously train, optimize, and serve machine-learning models on live-streaming data directly in production. The platform supports major AI and machine-learning frameworks such as Spark ML, Apache Kafka, Scikit-Learn, Xgboost, R, TensorFlow, Keras, and PyTorch. PipelineAI's core mission is to integrate model optimizing and serving as essential components of the modern data pipeline, providing data scientists and engineers with the tools to quickly deploy and manage AI models in real-time environments.

Chris Fregly, a Principal Solution Architect for AI and Machine Learning at Amazon Web Services (AWS), is a notable figure affiliated with PipelineAI. He is also the co-author of the O'Reilly book "Data Science on AWS" and the founder of the global meetup series "Data Science on AWS." The platform has made significant strides in the AI community by enabling seamless integration and deployment of machine-learning models, impacting how enterprises handle real-time data processing and model management.