Category: Case Study

The Next Smart video series on APN TV showcases how AWS Competency Partners are helping customers grow with AWS. Whether you’re looking for consulting services or strategic technology solutions, you’ll discover APN TV videos that show how AWS customers in similar situations have teamed up with AWS Competency Partners to drive better business and bigger results. The Next Smart video series on APN TV includes demos, interviews, success stories, and webinars featuring AWS Competency Partners.

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.

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.

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.

With connected IoT solutions built on AWS, businesses can be more proactive with maintenance instead of reactionary, allowing them to fix problems with machinery before they become critical. Reliance Steel & Aluminum Co. teamed up with TensorIoT to solve for this use case. Together, they built an IoT solution on AWS that ensures the maintenance needs of Reliance’s industrial machinery are anticipated and that machines can be serviced before breaking down.