The advantage of Personalization in Rotating Stores (part one)

Ferris Wheel

The concept behind a rotating store is relatively simple; only a fraction of a catalog’s items are purchasable at any given time. The store effectively hides the remaining products, and transactions on that subset are impossible until a “rotation” occurs. In most cases, a rotation takes place at some predetermined cadence known by the consumer. In this sense, a rotating store shares similarities with a “flash sale.” Under this scenario, items that were likely purchasable beforehand have now been discounted for a short time, usually 1–2 days. However, the mechanism is slightly different as the “sale” in a rotating store is the opportunity to purchase the item. While possible, it does not have to include an actual discount.

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White House: Recommendations for leveraging cloud computing resources for federally funded artificial intelligence research and development

The United States Government [will] sustain and enhance the scientific, technological, and economic leadership position of the United States in AI R&D and deployment through a coordinated Federal Government strategy … [that includes] better enabling the use of cloud computing resources for federally funded AI R&D.

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Amazon: Deploying reinforcement learning in production using Ray and Amazon SageMaker

Reinforcement learning (RL) is used to automate decision-making in a variety of domains, including games, autoscaling, finance, robotics, recommendations, and supply chain. Launched at AWS re:Invent 2018, Amazon SageMaker RL helps you quickly build, train, and deploy policies learned by RL.

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