Data Streaming and AI in Action at PAUL Tech AG | Hybrid and Multicloud; IoT; Environment, Social, and Governance (ESG)
While sustainability remains a critical challenge for various industries, including manufacturing, PAUL Tech AG achieved “up to 40% energy savings in buildings” by leveraging data streaming technologies, AI, and machine learning models. Connecting IoT devices to Confluent Cloud, the company established a real-time data flow, enabling stream processing and machine learning models to optimize drinking water and heating systems.
While sustainability remains a critical challenge for various industries, including manufacturing, PAUL Tech AG achieved “up to 40% energy savings in buildings” by leveraging data streaming technologies, AI, and machine learning models. Connecting IoT devices to Confluent Cloud, the company established a real-time data flow, enabling stream processing and machine learning models to optimize drinking water and heating systems.