ArchitectureQuickie15min
AI-Driven Architecture: How Machine Learning is Reshaping System Design
This talk explores how AI is becoming a core architectural layer in modern systems, enabling predictive autoscaling, intelligent routing, self-healing, and real-time decisions. It covers AI-driven architectural patterns such as event-driven systems, feature stores, and MLOps pipelines for engineers and architects.
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Ihor ZhuravlovSigma Software
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Wednesday, June 17, 13:35-13:50
Room 4B
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AI is no longer just a feature inside modern systems, it is becoming a core architectural layer that changes how platforms are designed, scaled, and maintained.
In this talk, we’ll explore how machine learning is reshaping system architecture: from predictive autoscaling and intelligent API routing to self-healing systems and real-time decision-making. We’ll also look at the architectural patterns behind AI-driven platforms, including event-driven systems, feature stores, and MLOps pipelines.
This session is designed for engineers and architects who want to understand not just how to add AI into products, but how AI fundamentally changes the way modern systems are built.
In this talk, we’ll explore how machine learning is reshaping system architecture: from predictive autoscaling and intelligent API routing to self-healing systems and real-time decision-making. We’ll also look at the architectural patterns behind AI-driven platforms, including event-driven systems, feature stores, and MLOps pipelines.
This session is designed for engineers and architects who want to understand not just how to add AI into products, but how AI fundamentally changes the way modern systems are built.
Ihor Zhuravlov
Ihor is a Principal Software Engineer and Data Architect at Sigma Software, as well as a Databricks- and Snowflake-certified professional and contributor to the .NET for Apache Spark project. He specializes in designing scalable data architectures and optimizing performance in mission-critical environments, combining deep profiling expertise with modern engineering practices to build efficient, high-performing systems.