Spending time with many OEMs and suppliers as well as technology vendors in the IoT segment, Kai Waehner gives an overview on current challenges in the automotive industry and on a variety of use cases for event-driven architectures.
By going through this white paper you will learn more about:
- Real-time use cases around Connected Cars and Fleet Management
- Possibilities of customer interactions and data analytics
- Challenges and requirements build automotive infrastructure at scale
- Machine Learning and Kafka in Automotive Use Cases
To bring this into life, you can also find links to the demo set-up "100.000 connected cars" in this white paper, which can be used as the foundation for most of the discussed use cases.
Author: Kai Waehner
About the author: Kai Waehner is an Enterprise Architect and Global Field Engineer at Confluent. He works with customers across Europe, US, Middle East and Asia and internal teams like engineering and marketing. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning, Hybrid Cloud Architectures, Event Stream Processing and Internet of Things. He is regular speaker at international conferences such as ApacheCon and Kafka Summit, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog).
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