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Explore how Whirlpool transformed their product development process by leveraging AWS cloud services to democratize Virtual Product Development and accelerate design decisions across the enterprise. Learn about Whirlpool's journey from siloed development tools to a unified cloud ecosystem that enables stakeholders company-wide to quickly explore design trade-offs and perform multi-objective optimizations. Discover how the company runs cloud-based cost and performance simulations to generate training data for building explainable machine learning models using Amazon SageMaker, which are then deployed through a modular front-end on AWS Elastic Beanstalk. Understand the implementation of Genetic Algorithms for optimization processes and see how this comprehensive approach empowers teams to make faster, smarter product architecture choices while driving measurable improvements in cost, performance, and time-to-market metrics.
