Building Scalable AI/ML Platforms for Industrial IoT

Learn to design and implement scalable AI/ML platforms specifically tailored for Industrial IoT applications in this conference talk from Conf42 Platform Engineering 2025. Explore the evolution from reactive to predictive maintenance strategies and understand the business value proposition of AI-powered maintenance solutions. Discover core architectural patterns essential for IoT success, including cloud-native platform components and edge computing integrations that enable real-time processing and decision-making. Master ML pipeline orchestration techniques for handling continuous data streams from industrial sensors and equipment. Examine developer experience considerations and enablement strategies that facilitate platform adoption across engineering teams. Analyze real-world case studies and implementations that demonstrate successful deployments in industrial environments. Follow a structured implementation roadmap that guides you through the practical steps of building these platforms from concept to production. Gain key insights specifically relevant to platform engineers working in industrial IoT contexts, including scalability challenges, data pipeline optimization, and integration with existing industrial systems.