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Urvashi Chowdhary

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Senior Manager, Product Management AWS

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AWS re:Invent 2024 - Accelerate innovation with generative AI and no-code machine learning (AIM227)

Learn how to empower anyone in your organization to unlock valuable insights from your data with Amazon SageMaker Canvas. With SageMaker Canvas, you can create highly accurate machine learning models for regression, classification, and time-series forecasting and fine-tune select foundation models—all without writing code or needing machine learning experience. In this session, explore how to scale ML operations through API-driven automation. Also discover how Gosoft used SageMaker Canvas AutoML time-series capabilities to automate demand forecasting for thousands of products across 15,000 7-Eleven stores in Thailand.

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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