How AI Rebuilt Salesforce's Decades-Old Localization Pipeline

What this post added

This post details the technical implementation of AI within Salesforce's localization pipeline. It likely covers the architecture of the new AI-driven system, the specific AI models or techniques employed (e.g., NLP for translation quality, ML for workflow optimization), the data used for training, the integration points with existing systems, and the metrics used to measure the improvement in speed and accuracy compared to the previous decades-old pipeline. It may also discuss the challenges encountered during the migration and debugging of this complex system.