Category: Learning Levels

With AWS End User Messaging, businesses can now enable both voice note input and voice note responses on WhatsApp. In this blog post, we explore why voice notes matter, where they make a difference, and how AWS helps you enable them through a sample voice note messaging solution.

Educational technology (EdTech) providers face the challenge of maintaining seamless, personalized communication and presenting the right recommendations to their diverse stakeholders. This post explores how combining Amazon Web Services (AWS) End User Messaging and WhatsApp Business API with the advanced AI capabilities of Amazon Bedrock can transform educational engagement.

This post explains how to programmatically register sender IDs, which can be used in many countries around the globe. The registration process makes it possible for businesses and organizations to send messages using an alphanumeric identifier instead of a phone number, making communications more professional and recognizable to recipients.

As businesses increasingly use SMS messaging to engage with customers at scale, having the right origination identity is crucial. Toll-free numbers (TFNs) are the quickest way to begin sending to the United States and offer a trusted, high-visibility option that can drive greater response and brand recognition. This post is for every company that wants to send to the US or internationally.

WhatsApp is one of the most widely used messaging platforms globally, making it an ideal channel for customer engagement. Whether you’re building a virtual assistant, a customer AI assistant, or an internal communication tool, developing a WhatsApp AI assistant presents unique design and operational challenges. In this post, we explore best practices for building a […]

In this post, we explore how Mail Manager can modernize your approach to outbound email management. We’ll dive into the various options available for controlling email flows and archiving all outgoing emails.

We’ve released the SESv2 MCP Server sample on GitHub and invite current and prospective customers to experiment with it in non-production environments. This post provides example use cases demonstrating how the SESv2 MCP Server can be used with AI tools like the Amazon Q CLI to get information about an Amazon SES account, set up configurations, and send test emails – all without needing deep expertise in email or Amazon SES.

Organizations face integration challenges while adding Generative AI (GenAI) -powered Agentic AI and hyper-personalization capabilities to engage with customers through dynamic and personal experiences. They require scalable and reusable architectures to integrate knowledge bases, business logic, and customer communications without a complete system overhaul, amid disparate engagement solutions they currently operate. A Modern Communications Hub, loosely coupled with core Generative AI services, will establish a composable foundation to build communication-channel-agnostic customer experiences on. Start experimenting with AI-powered customer experience innovations with a quick proof-of-concept that won’t interfere with your present customer engagement setup.

Introduction Businesses and organizations today struggle to effectively communicate with their customers, employees, or other stakeholders across the diverse range of digital channels they now use. One common problem arises when the requirement to exchange information quickly and reliably extends beyond traditional email. This issue challenges organizations where recipients lack immediate access to email. This […]

In this post, we will walk through using Amazon Pinpoint and Amazon Quicksight to create customizable messaging campaign reports. Amazon Pinpoint is a flexible and scalable outbound and inbound marketing communications service that allows customers to connect with users over channels like email, SMS, push, or voice. Amazon QuickSight is a scalable, serverless, embeddable, machine […]