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Transforming Software Engineering with AI Tools

This video shifts the focus from merely discussing AI to successfully implementing it, transforming software development into an industrialized engineering discipline. The presentation highlights a structured approach for AI adoption by integrating AI-centric practices like data centricity, continuous redesign, and version control into the traditional 5D (Discover, Define, Design, Develop, Deploy) lifecycle. Expert speakers showcase two successful projects: one using deep learning (Microsoft Trellis) to automate accurate body measurement for the garment industry, and another detailing how generative AI rapidly redeveloped an HRMS SaaS application, dramatically cutting development time and cost. The discussion also emphasizes the critical need for governance, human control, coding standards, and explainability (RAG) to ensure maintainability and achieve significant business and economic outcomes.