AWS Partner Network (APN) Blog

Category: Case Study

Machine Learning-4

How to Use Amazon SageMaker to Improve Machine Learning Models for Data Analysis

Amazon SageMaker provides all the components needed for machine learning in a single toolset. This allows ML models to get to production faster with much less effort and at lower cost. Learn about the data modeling process used by BizCloud Experts and the results they achieved for Neiman Marcus. Amazon SageMaker was employed to help develop and train ML algorithms for recommendation, personalization, and forecasting models that Neiman Marcus uses for data analysis and customer insights.

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Introducing APN TV: Learn How the AWS Partner Network Can Help You Grow and Scale on AWS

To help you sharpen cloud skills and strengthen your AWS-based business offerings, we are excited to introduce AWS Partner Network TV, or APN TV for short. Whether you’re looking for consulting services or strategic technology solutions, you’ll discover APN TV videos that showcase how AWS customers in similar situations have teamed up with APN Partners to drive better business and bigger results. Videos include demos, interviews, success stories, and webinars featuring top APN Partners.

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Insurity_AWS Solutions

How Insurity Architected ClaimsXPress for High Availability and Resiliency on AWS

ISVs servicing the insurance industry can take advantage of AWS infrastructure and services to architect solutions that meet these needs, without requiring large up-front capital expenditures. Insurity ClaimsXPress is a claims management system built on AWS that provides a redundant, secure, multi-region architecture. In this post, we will outline how Insurity has architected their ClaimsXPress solution on AWS to deliver an enterprise-grade SaaS solution for the commercial insurance market.

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