AWS Machine Learning Blog
Category: Amazon Lex
Building a business intelligence dashboard for your Amazon Lex bots
July 2024: The solution in this blog post is now obsolete with the release of Amazon Lex V2. You’ve rolled out a conversational interface powered by Amazon Lex, with a goal of improving the user experience for your customers. Now you want to track how well it’s working. Are your customers finding it helpful? How are […]
Using Amazon Lex Conversation logs to monitor and improve interactions
July 2024: The solution in this blog post is now obsolete with the release of Amazon Lex V2. As a product owner for a conversational interface, understanding and improving the user experience without the corresponding visibility or telemetry can feel like driving a car blindfolded. It is important to understand how users are interacting with your […]
Building an AR/AI vehicle manual using Amazon Sumerian and Amazon Lex
Auto manufacturers are continuously adding new controls, interfaces, and intelligence into their vehicles. They publish manuals detailing how to use these functions, but these handbooks are cumbersome. Because they consist of hundreds of pages in several languages, it can be difficult to search for relevant information about specific features. Attempts to replace paper-based manuals with […]
Designing conversational experiences with sentiment analysis in Amazon Lex
July 2024: The solution in this blog post is now obsolete with the release of Amazon Lex V2. To have an effective conversation, it is important to understand the sentiment and respond appropriately. In a customer service call, a simple acknowledgment when talking to an unhappy customer might be helpful, such as, “Sorry to hear you […]
Managing multi-topic conversation flows with Amazon Lex Session API checkpoints
In daily conversations, you often jump back and forth between multiple topics. For example, when discussing a home improvement project related to new windows and curtains, you might have questions like, “How about closing out on curtain styles and then revisiting colors?” When AWS launched Amazon Lex Session API, you learned how to address such […]
Managing conversation flow with a fallback intent on Amazon Lex
July 2024: The solution in this blog post is now obsolete with the release of Amazon Lex V2. Ever been stumped by a question? Imagine you’re in a business review going over weekly numbers and someone asks, “What about expenses?” Your response might be, “I don’t know. I wasn’t prepared to have that discussion right now.” […]
Authenticate users with one-time passwords in Amazon Lex chatbots
July 2024: The solution in this blog post is now obsolete with the release of Amazon Lex V2. Today, many companies use one-time passwords (OTP) to authenticate users. An application asks you for a password to proceed. This password is sent to you via text message to a registered phone number. You enter the password to […]
Managing Amazon Lex session state using APIs on the client
Anyone who has tried building a bot to support interactions knows that managing the conversation flow can be tricky. Real users (people who obviously haven’t rehearsed your script) can digress in the middle of a conversation. They could ask a question related to the current topic or take the conversation in an entirely new direction. […]
Use Amazon Lex as a conversational interface with Twilio Media Streams
Businesses use the Twilio platform to build new ways to communicate with their customers: whether it’s fully automating a restaurant’s food orders with a conversational Interactive Voice Response (IVR) or building a next generation advanced contact center. With the launch of Media Streams, Twilio is opening up their Voice platform by providing businesses access to […]
Empowering wheelchair users with a socially assistive robot running on Amazon Machine Learning
Loro is a socially assistive robot that helps users with physical limitations to more robustly experience their worlds by assisting with seeing, sensing, speaking, and interacting with surroundings. Loro uses a range of AWS artificial intelligence (AI) and especially machine learning (ML) services to enable its broad range of use cases. Wheelchair users and others […]