Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components
Salesforce is using SageMaker Inference Components to achieve Multi-AZ high availability. This setup enhances reliability and performance for users relying on Salesforce's AI capabilities.
More in Products
Batch write and discover records in Amazon SageMaker Feature Store
Amazon just added batch writing and record discovery features to SageMaker Feature Store. This update streamlines data management for machine learning workflows, making it easier for users to handle large datasets efficiently.
How Indra unified EV charging data on Databricks
Indra just unified EV charging data on Databricks. This integration streamlines access to charging information, making it easier for users to manage and analyze EV charging networks.
How Trackunit turns construction data into decisions with AI
Trackunit is using AI to transform construction data into actionable decisions. This helps construction teams optimize operations and improve project outcomes.
How Decathlon runs demand forecasting at scale with Chronos-2
Decathlon is using AWS's Chronos-2 for demand forecasting at scale. This upgrade enhances their inventory management and helps them respond better to market changes.