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Online Talk

Data Streaming in Real Life: Utilities & Energy

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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 different trends. This webinar series is designed to give a deep dive into the state of data streaming in a variety of industries, with examples from all around the globe.

This webinar explores the state of data streaming for the industry of energy and utilities, in the private sector as well as the governmental regulated sector.

Join this webinar to learn more about:

  • Trends like real-time grid monitoring and management, demand response, energy optimization, and how digital customer interfaces for smart metering and customer engagement are shaping the industry
  • 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 utilities and energy sector globally

Kai Waehner, Global Field CTO at Confluent explores the latest data streaming trends and architectures, including edge, datacenter, hybrid, and multicloud 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 SunPower, 50Hertz, Powerledger, and more.

Kai Waehner is Field CTO at Confluent. He works with customers across the globe and with internal teams like engineering and marketing. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, Internet of Things, and Blockchain. Kai 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: www.kai-waehner.de. Contact: kai.waehner@confluent.io / @KaiWaehner / linkedin.com/in/kaiwaehner.

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