Apache Kafka® has become the de facto standard for reliable and scalable streaming infrastructures. AI/Machine learning and the Apache Kafka ecosystem are a great combination for training and deploying analytic models at scale. AI/Machine Learning/Deep Learning are showing up more and more in projects, but still feel like buzzwords and hype for science projects. See how to connect the dots! How are both related? How can they be combined to productionize Machine Learning models in mission-critical and scalable real time applications?
Wednesday, November 20th, 2019
11:30 am - 3:30 pm
52 Henry St
Detroit, MI 48201
11:30 - 12:15 PM – Lunch & Networking, Hosted by Google
12:15 - 1:00 PM – Welcome: Multi/Hybrid Cloud Strategy for AI/MI: Confluent & Google
1:00 - 3:10 PM – Apache Kafka and AI/Machine Learning in the Cloud – Let’s Connect the Dots
3:10 - 3:30 PM – Wrap Up: White Board Ideas, Q&A
Kai Waehner, Sr. Technology Evangelist Confluent Platform, AI/Machine Learning, Confluent
Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Cloud / Hybrid Architectures, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is a regular speaker at international conferences such as Kafka Summit, 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 / LinkedIn (https://www.linkedin.com/in/megachucky/).
Steve Howard, Sr. Systems Engineer Confluent Platform, Confluent