AWS Machine Learning Blog
Category: Amazon Lex
Interact with an Amazon Lex V2 bot with the AWS CLI, AWS SDK for Python (Boto3), and AWS SDK for DotNet
Amazon Lex is a service for building conversational interfaces into any application. The new Amazon Lex V2 console and APIs make it easier to build, deploy, and manage bots. The Amazon Lex V2 console and APIs provide a simple information architecture in which the bot intents and slot types are scoped to a specific language. […]
Best practices in customer service automation
Chatbots, virtual assistants, and Interactive Voice Response (IVR) systems are key components of successful customer service strategies. We had the pleasure of hearing from three AWS Contact Center Intelligence (AWS CCI) Partners as part of our Best Practices in Customer Service Automation webinar, who provided valuable insights and tips for building automated, customer-service solutions. The […]
Building an omnichannel Q&A chatbot with Amazon Connect, Amazon Lex, Amazon Kendra, and the open-source QnABot project
For many students, embarking on a higher education journey is an exciting time filled with new experiences. However, like anything new, it also can also bring plenty of questions to answer and obstacles to overcome. Oklahoma State University, Oklahoma City (OSU-OKC) recognized this, and was intent on providing a better solution to address student questions […]
Creating a BankingBot on Amazon Lex V2 Console with support for English and Spanish
This blog post was last reviewed and updated August, 2022 with updated verbiage and screenshots for BankingBot. Amazon Lex is a service for building conversational interfaces into any application. The new Amazon Lex V2 Console and APIs make it easier to build, deploy, and manage bots. In this post, you will learn about about the […]
Scheduling work meetings in Slack with Amazon Lex
Imagine being able to schedule a meeting or get notified about updates in your code repositories without leaving your preferred messaging platform. This could save you time and increase productivity. With the advent of chatbots, these mundane tasks are now easier than ever. Amazon Lex, a service for building chatbots, offers native integration with popular […]
This month in AWS Machine Learning: January edition
Hello and welcome to our first “This month in AWS Machine Learning” of 2021! Every day there is something new going on in the world of AWS Machine Learning—from launches to new to use cases to interactive trainings. We’re packaging some of the not-to-miss information from the ML Blog and beyond for easy perusing each […]
How to deliver natural conversational experiences using Amazon Lex Streaming APIs
Natural conversations often include pauses and interruptions. During customer service calls, a caller may ask to pause the conversation or hold the line while they look up the necessary information before continuing to answer a question. For example, callers often need time to retrieve credit card details when making bill payments. Interruptions are also common. […]
AWS Announces the global expansion of AWS CCI Solutions
We’re excited to announce the global availability of AWS Contact Center Intelligence (AWS CCI) solutions powered by AWS AI Services and made available through the AWS Partner Network. AWS CCI solutions enable you to leverage AWS machine learning (ML) capabilities with your current contact center provider to gain greater efficiencies and deliver increasingly tailored customer […]
Using a test framework to design better experiences with Amazon Lex
November 2022: This post was updated to work for Amazon Lex V2. Chatbots have become an increasingly important channel for businesses to service their customers. Chatbots provide 24/7 availability and can help customers interact with brands anywhere, anytime and on any device. To effectively utilize chatbots, they must be built with good design, development, test, […]
Customization, automation and scalability in customer service: Integrating Genesys Cloud and AWS Contact Center Intelligence
This is a guest post authored by Rebecca Owens and Julian Hernandez, who work at Genesys Cloud. Legacy technology limits organizations in their ability to offer excellent customer service to users. Organizations must design, establish, and implement their customer relationship strategies while balancing against operational efficiency concerns. Another factor to consider is the constant evolution […]