AWS Partner Network (APN) Blog

Tag: APN Consulting Partners

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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AWS Partner Network

Announcing Tier Support for APN Partners Impacted by COVID-19

As we closely monitor the impact of COVID-19 across the world, we have been evaluating how best to support and enable APN Partners in this unprecedented situation. We have made the decision to allow APN Partners to maintain their 2019 APN Tier status throughout 2020. Enhanced tier requirements came into effect in 2020. By extending APN Tier status through 2020, we are enabling APN Partners to focus on supporting their customers rather than meeting program requirements during this difficult time.

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Succeeding with Your Next-Gen AWS MSP Sales, Solutions Architecture, and Marketing Teams

This four-part series for APN Partners can help you build a next-generation AWS Managed Service Provider (MSP). The AWS MSP Partner Program recognizes leading APN Consulting Partners that are highly skilled at providing full lifecycle solutions to customers. We have discussed the foundational tenets of next-gen MSPs and how to shape your teams so you can deliver a successful MSP offering on AWS. In this final post, I will focus on your MSP’s sales and alliance, solutions architecture, and marketing teams.

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How Steamhaus Used AWS Well-Architected to Improve Sperry Rail’s Artificial Intelligence System

Over two days, Steamhaus conducted an AWS Well-Architected Review on-site with the team who designed, built, and currently manage Elmer at Sperry Rail. Elmer uses machine intelligence to inspect thousands of miles of ultrasound scans collected by Sperry’s inspection vehicles, searching for evidence of cracks in the rail. This partnership allowed quick improvements in efficiency, while ensuring the requirements of running the business day-to-day did not get in the way of improving Elmer.

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Gathering Market Intelligence from the Web Using Cloud-Based AI and ML Techniques

Many organizations face the challenge of gathering market intelligence on new product and platform announcements made by their partners and competitors—and doing so in a timely fashion. Harnessing these insights quickly can help businesses react to specific industry trends and fuel innovative products and offerings inside their own company.Learn how Accenture helped a customer use AWS to gather critical insights along with key signals and trends from the web using AI and ML techniques.

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Improving the Performance of Distributed Atlassian Applications with Amazon CloudFront

Atlassian users who run Jira, Confluence, or Bitbucket applications across distributed teams find that, due to slower network connectivity, content sometimes loads much slower for team members in geographically distant regions. A new feature in Atlassian’s Jira, Confluence, and Bitbucket Data Center versions allows the use of Amazon CloudFront to improve the user experience and overall performance of applications hosted in other global regions.

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Cutting Costs with AWS Lambda for Highly Scalable Image Processing

Learn how APN Partner Toptal applied a horizontally scalable solution for a customer’s image upload processing. This type of serverless solution can reduce the strain on API servers and eliminate the need for running separate servers to handle spikes without crashing. A serverless computing model with AWS Lambda is a natural fit for utility classes of tasks, such as preparing and sending transactional emails and push notifications.

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Join AWS Experts for Well-Architected Wednesdays—a New PartnerCast Webinar Series

Introducing Well-Architected Wednesdays! Our recent six-week PartnerCast series focused on what it takes to be an AWS Well-Architected Partner. These on-demand episodes can sharpen your cloud skills and strengthen your company’s AWS offerings. The PartnerCast team and AWS Solutions Architects identified six topics that will help you dive deep into your customer’s solutions using the AWS Well-Architected Framework.

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5 Tips to Help Managed Service Providers Prepare for the AWS MSP Program Audit

We’ve heard from APN Partners about some of the challenges they face when preparing for the AWS Managed Service Provider (MSP) Program audit, so we developed this list of five recommendations to help your organization prepare. These tips are based on AWS MSP Partner observations and best practices that should drive a more positive application and audit experience. All APN Partners must perform and pass a full audit with our third-party auditing firm in order to be a validated AWS MSP Partner.

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Unlocking the Value of Your Contact Center Data with TrueVoice Speech Analytics from Deloitte

Voice data represents a rich and relatively untapped source of information that can help organizations gaining precious insights into their customers and operations. By leveraging a number of AWS services, Deloitte’s speech analytics solution, TrueVoice, can process voice data at scale, apply machine learning models to extract valuable information for this unstructured data, and continuously refine and enrich such models, tailoring them to specific industries and business needs.

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