Confluent Real time event streaming - why it matters for Industry 4.0

Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to create seamless applications that connect the organisation internally and externally. This continuous state of change means that legacy architectures are insufficient or unsuitable to meet the needs of the modern organisation. Applications must be able to run 24×7 and be elastic, global, and cloud-native. Mining, resources, chemical, energy and industrial organisations must process billions of these events per day in real-time and ensure consistent and reliable data processing and correlation across machines, sensors and standard software. Enter event-driven architecture (EDA), a type of software architecture that ingests, processes, stores, and reacts to real-time data as it’s being generated, opening new capabilities in the way businesses run. Real-time streaming data enables you to modernise existing processes, streamline costs and extract more value out of your business data. Join us on Wednesday, March 10th 2pm AEST to learn how event streaming with Apache Kafka, Confluent Platform and Confluent Cloud provide a scalable, reliable, and efficient infrastructure to ensure you can leverage the value of real time data. In this session James Gollan, Senior Solutions Architect at Confluent, will discuss use cases and architectures for various scenarios, including: Agenda: 10,000 Feet View – Event Streaming for Industry 4.0 Events – What are they, and why do they matter? The three pillars of an event streaming platform Event driven microservices Event driven architecture and IoT and use cases Core data offload Machine learning for anomaly detection Monitoring telemetry on trucks - sensor detector Supply Chain Management Cybersecurity Q&A Advance registration is requested. We look forward to your participation!