Technology & SoftwareConversational AI
Observe.AI cuts machine learning costs over 50% with load-testing framework on AWS
Observe.AI, a conversation intelligence platform using a 30-billion-parameter contact center LLM to analyze customer interactions, developed and open-sourced the One Load Audit Framework (OLAF), integrated with Amazon SageMaker, to automatically identify bottlenecks and performance issues in its ML services and predict data load capacity. By fine-tuning SageMaker instance sizes with OLAF, Observe.AI cut ML deployment costs by over 50%, reduced infrastructure sizing time from one week to a few hours, and enabled on-demand scaling to support a 10x increase in data load.
Observe.AIAmazon SageMaker · Amazon SQS · Amazon SNS +1
