Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Kai Wähner

Kai Wähner
Technology Evangelist, Confluent

Website | @KaiWaehner

Kai Wähner is a technology evangelist at Confluent. Kai’s areas of expertise include big data analytics, machine learning, deep learning, messaging, integration, microservices, the internet of things, stream processing, and blockchain. He’s regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture, and ApacheCon and has written a number of articles for professional journals. Kai also shares his experiences with new technologies on his blog.


12:0512:45 Thursday, 2 May 2019
Data Engineering and Architecture, Expo Hall
Location: Expo Hall 2 (Capital Hall N24)
Kai Wähner (Confluent)
Average rating: ****.
(4.75, 8 ratings)
How do you leverage the flexibility and extreme scale of the public cloud and the Apache Kafka ecosystem to build scalable, mission-critical machine learning infrastructures that span multiple public clouds—or bridge your on-premises data center to the cloud? Join Kai Wähner to learn how to use technologies such as TensorFlow with Kafka’s open source ecosystem for machine learning infrastructures. Read more.