Opening Address
summary
Narrative traces ML’s shift from AlexNet 2012 to production: TensorFlow rises then PyTorch gains ground, cloud infra lowers barriers, and enterprises stop with POCs and demand scale. Case studies include FB Learner, Airbnb Bighead, LinkedIn, OpenAI, Comcast and Shell. Practical outcomes: an ebook showing Kubernetes for ML deployments went from niche to common in 11 months, a second ebook distills a roadmap for internal platforms, and a podcast series records what teams actually built to move models into production.
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