"AI-Powered Microservices for Dynamic Decision Making" delves into the fusion of artificial intelligence with microservices architecture to enable autonomous, real-time decision-making across applications. This approach enhances scalability and flexibility, allowing for distributed AI functions that adapt dynamically to changing data and user needs. The discussion covers architectural considerations, challenges, and the practical implementation of AI models within microservices. Through real-world examples, it highlights the transformative potential of AI-powered microservices in industries, facilitating smarter operations and personalized customer experiences. The talk concludes with insights into future trends and the continuous evolution of intelligent, autonomous systems.