Webinar: How to Build a Streaming Data Mesh | Register

Online Talk

Data Streaming in Real Life: Insurance

Data streaming and event-driven architectures are the go-to architecture patterns for 2023 across all industries. Still, different industries face different challenges and have to follow other trends. This webinar series is designed to give a deep dive into the state of data streaming in various industries, with examples from all around the globe.

This webinar explores the state of data streaming in the insurance industry, which constantly needs innovation due to changing market environments and changes in customer expectations.

Watch this webinar to learn more about:

  • How data streaming provides the ability to integrate, correlate, and analyze data in real-time, build to scale, and unify data across your deployments
  • Which enterprise architectures are trending in the insurance sector globally
  • Trends like real-time AI-driven risk prediction and fraud detection, telematics and usage-based insurance or IoT integration for property insurance are shaping the industry

Join Kai Waehner, Global Field CTO at Confluent, as he explores the latest data streaming trends and architectures, including edge, data center, hybrid, and multi-cloud solutions. Discover how these cutting-edge technologies drive continuous modernization and innovation within the industry. The session showcases real-life use cases and customer stories from industry leaders like Centene, Generali, Ladder, Allianz, and more.


Kai Waehner

Global Field CTO, Confluent

Kai Waehner is working with Confluent customers across the world, internal teams, and industry analysts. 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 a regular speaker at international conferences such as Devoxx, ApacheCon, and Kafka Summit, writes articles for professional journals, and shares his experiences with new technologies on his blog.

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Weitere Ressourcen

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Weitere Ressourcen

cc demo
kafka microservices