As AI-powered applications become more sophisticated, the quality, history, and context of data have never been more important. Traditional CRUD-based systems often struggle to provide the rich historical information and traceability that modern AI solutions require. This is where Event Sourcing shines.

In this session, we'll explore why Event Sourcing is becoming one of the most valuable architectural patterns for building intelligent, AI-driven applications. By storing every change as an immutable event, developers gain a complete history of business activities, enabling better analytics, auditability, explainability, and AI-powered decision-making.

Through practical examples and real-world scenarios, you'll learn how Event Sourcing works, how it differs from traditional data architectures, and why it provides an ideal foundation for machine learning, generative AI, recommendation engines, and intelligent business systems. We'll also discuss the challenges, trade-offs, and best practices for implementing Event Sourcing successfully in modern distributed applications.

Whether you are a software developer, architect, cloud engineer, data professional, AI practitioner, or technical leader, this session will help you understand how Event Sourcing can unlock new possibilities for building smarter applications and more capable AI systems.

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What you'll learn:

✅ What Event Sourcing is and how it differs from traditional CRUD architectures

✅ Why historical events are valuable for AI and machine learning workloads

✅ How Event Sourcing improves traceability, auditing, and explainability

✅ Building event-driven architectures for intelligent applications

✅ The relationship between Event Sourcing, CQRS, and modern cloud architectures

✅ Common implementation challenges and how to overcome them

✅ Real-world use cases where Event Sourcing powers AI-driven solutions

How to connect:

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https://microsofthero.com

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