Software engineering is undergoing a fundamental transformation as organizations strive to build faster, smarter, and more scalable systems. This session explores how the integration of Artificial Intelligence (AI) and Model-Driven Design is redefining traditional development practices and enabling a new generation of intelligent, adaptive software systems.

The talk will highlight how model-driven approaches elevate abstraction by treating models as primary artifacts, improving alignment between business requirements and technical implementation. At the same time, AI introduces powerful capabilities such as automated code generation, intelligent testing, predictive analytics, and decision support, significantly enhancing productivity and software quality.

Through real-world examples and enterprise use cases, this session will demonstrate how combining AI with model-driven methodologies accelerates development cycles, reduces complexity, and strengthens governance. It will also address key challenges, including adoption strategies, integration with existing systems, and ethical considerations in AI-driven development.