In this episode, we sit down with Seth DeLand, Product Manager for Generative AI at MathWorks, to explore how agentic AI is transforming engineering workflows in 2026 and beyond. We discuss the evolution from classical machine learning (gradient descent, optimization, deep learning) to large language models and agentic AI systems that can call tools, write code, refactor models, and assist across the full engineering lifecycle. Seth shares how engineers can move from manual implementation toward higher-level problem definition, requirements engineering, architecture design, and AI-assisted validation. We also explore MATLAB Copilot, Simulink Copilot (beta), and the Model Context Protocol (MCP), and how these tools integrate generative AI directly into real engineering workflows. Tune in!
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