Deep Learning at Extreme Scale in the Cloud with Apache Kafka and TensorFlow
This talk shows how to build Machine Learning models at extreme scale and how to productionize the built models in mission-critical real time applications by leveraging open source components like TensorFlow and the Apache Kafka open source ecosystem in the public cloud - and why this is a great fit for machine learning at extreme scale. A live demo shows sensor analytics for predictive alerting in real time.
Kai Wähner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning, Integration, Microservices, Internet of Things, Stream Processing and Blockchain. He is regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog). Contact and references: firstname.lastname@example.org / @KaiWaehner / www.kai-waehner.de