Author: AI Generated Robotic Content

Although Coop has a rich history spanning nearly 160 years, the machine learning (ML) team supporting its modern operations is quite young. Its story began in 2018 with one simple mission: to leverage ML-powered forecasting to help inform business decisions, such as demand planning based on supply chain seasonality and expected customer demand. The end …

Read more “Coop reduces food waste by forecasting with Google’s AI and Data Cloud”

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. For customers who have been developing ML models on premises, such as their local desktop, they want to migrate their legacy ML models to the AWS Cloud to fully take advantage of …

Read more “Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions”

As deep learning models become increasingly complex and datasets larger, distributed training is all but a necessity. Faster training makes for faster iteration to reach your modeling goals. But distributed training comes with its own set of challenges. On top of deciding what kind of distribution strategy you want to use and making changes to …

Read more “Optimize PyTorch training performance with Reduction Server on Vertex AI”