Opening keynote

In many applications where data is generated continuously, combining machine learning with streaming data is imperative to discover useful information in real time. Yong Tang explores TensorFlow I/O, which can be used to easily build a data pipeline with TensorFlow and stream frameworks such as Apache Kafka, AWS Kinesis, or Google Cloud PubSub.

Open-source AI tools/solutions ARE available but theyre not easy to implement, arent always compatible, & each solve only a small piece of the puzzle. Thats why despite growing adoption AI is s …

Putting together an ML production pipeline for training, deploying, and maintaining ML and deep learning applications is much more than just training a model. Robert Crowe and Pedram Pejman explore Google's TFX, an open source version of the tools and libraries that Google uses internally, made using its years of experience in developing production ML pipelines.

Putting together an ML production pipeline for training, deploying, and maintaining ML and deep learning applications is much more than just training a model. Robert Crowe explores Google's open source community TensorFlow Extended (TFX), an open source version of the tools and libraries that Google uses internally, made using its years of experience in developing production ML pipelines.

This talk describes how gRPC can support multiple device programmability paradigms and ultimately facilitate network automation. This open-source technology can be used for model-driven device managea …

Open-source AI tools/solutions ARE available but theyre not easy to implement, arent always compatible, and each solve only a small piece of the puzzle. Thats why despite growing adoption AI is …