Blog Tags: Sage Maker
Revolutionizing SMB Insurance with AI-led Underwriting Data Prefill Solutions
US SMBs often struggle with complex and time-consuming insurance processes, leading to underinsurance. Tiger Analytics’ AWS-powered prefill solution offers a customizable, accurate, and cost-saving approach. With 95% data accuracy, a 90% fill rate, and potential $10M annual savings, insurers can streamline underwriting, boost risk assessment, and gain a competitive edge.
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REST API with AWS SageMaker: Deploying Custom Machine Learning Models
Learn how to deploy custom Machine Learning (ML) models using AWS SageMaker and REST API. Understand the steps involved, including setting up the environment, training models, and creating endpoints for real-time predictions, as well as why to integrate ML models with REST APIs for scalable deployment.
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