Tag: Amazon Personalize

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

The AWS for Nonprofits team announced a new Amazon AppFlow data connector that enables nonprofits to transfer valuable data from Blackbaud Raiser’s Edge NXT to AWS services and other destinations. In this blog post, learn some common nonprofit use cases that can be addressed by integrating your data with other AWS services and commercially available software-as-service (SaaS) applications.

Many organizations perform direct mailings, designed to support fundraising or assist with other efforts to help further the organization’s mission. Direct mailing workflows can use everything from a Microsoft Word mail merge to utilizing a third-party mailing provider. By leveraging the power of the cloud, organizations can take advantage of capabilities that might otherwise be out of reach, like customized personalization at scale. In this walkthrough, learn how organizations can utilize machine learning (ML) personalization techniques with AWS to help drive better outcomes on their direct mailing efforts.

As one-time donations increasingly become the norm, nonprofit development teams are challenged to think outside-the-box to attract, retain, and communicate with their valuable supporters. Nonprofit organizations can use data to inform an enhanced engagement strategy, but many are challenged to unlock the full value of that data affordably and at scale. To help nonprofits use the cloud to build innovative fundraising and member engagement solutions, we are launching a new program – AWS TechAction.

Data is currency, and today’s nonprofits have more data at their fingertips than ever before. From fundraising insights to beneficiary intelligence, to personalized communications, your nonprofit’s data can better support the activities that drive funding and resources toward your mission. AWS can help your nonprofit unify, interpret, and understand your data—regardless of your cloud experience. Learn about three key strategies that nonprofits use today that can turn valuable data into increased dollars toward your mission and decreased administrative burden for staff.

Skillshare is the largest global online learning community for creativity. They offer thousands of inspiring classes for creative and curious people on topics including illustration, design, photography, video, freelancing, and more. Skillshare wanted their members to easily discover relevant content with a seamless discovery process of personalized recommendations. Skillshare decided to test Amazon Personalize from AWS to make these data-fueled recommendations for members with machine learning. This blog post describes their Amazon Personalize solution architecture, their AWS Step Functions process, and the results of their experiment.

Discovery Education (DE) provides standards-aligned digital curriculum resources, engaging content, and professional learning for K12 classrooms. Learn how they worked with AWS to enhance its K12 learning platform with machine learning (ML) capabilities.

Nonprofits can leverage the cloud to reduce the burden associated with their fundraising activities. With machine learning (ML), nonprofits can identify individuals who are more likely to engage and donate to their cause to support their mission. Read more to learn exactly how you can put these solutions into action and leverage ML to help your nonprofit with fundraising efforts. In this post, discover how to use Amazon Personalize to build a ML model that supports a wide-range of personalization experiences—without prior machine learning experience.

The humanities—including performing and visual arts—help us understand and interpret the world around us. With the recent pandemic, cultural institutions are challenged as attendance is slowing, funding is diminishing, and programs are being shut down. These cultural institutions must adapt to meet the challenges of this new world. Amazon and AWS have tools to help museums, performing arts centers, and other cultural organizations extend their sphere of influence and increase their engagement with patrons, to remain relevant and better engage audiences in a digital world.