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Explore how to architect and implement scalable AI-powered platforms through this comprehensive conference talk from Conf42 Platform Engineering 2025. Learn to leverage artificial intelligence in Configure, Price, Quote (CPQ) systems while building robust, enterprise-grade platforms that can handle complex business requirements. Discover AI-powered CPQ architecture patterns and understand how to implement real-time data processing with dynamic pricing capabilities. Master microservices design principles focused on optimizing response times and building resilient distributed systems. Examine integration patterns and event-driven communication strategies that enable seamless data flow across platform components. Understand multi-cloud infrastructure approaches and scalability techniques for handling varying workloads and ensuring high availability. Gain insights into developer experience optimization and tooling that accelerates development cycles while maintaining code quality. Learn observability best practices and incident response strategies for monitoring AI-powered systems and quickly resolving issues. Explore data platform integration techniques and security considerations specific to AI-enabled applications handling sensitive business data. Master performance optimization strategies that ensure your AI-powered platforms deliver consistent, fast responses under load. Review real-world case studies demonstrating successful implementations of scalable AI platforms in production environments.
