AWS Machine Learning Blog
Tag: Amazon Lex
Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex
Global Resiliency is a new Amazon Lex capability that enables near real-time replication of your Amazon Lex V2 bots in a second AWS Region. When you activate this feature, all resources, versions, and aliases associated after activation will be synchronized across the chosen Regions. With Global Resiliency, the replicated bot resources and aliases in the […]
Deploy generative AI agents in your contact center for voice and chat using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases
In this post, we show you how DoorDash built a generative AI agent using Amazon Connect, Amazon Lex, and Amazon Bedrock Knowledge Bases to provide a low-latency, self-service experience for their delivery workers.
Build a self-service digital assistant using Amazon Lex and Amazon Bedrock Knowledge Bases
Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. These chatbots can be efficiently utilized for handling generic inquiries, freeing up […]
Manage your Amazon Lex bot via AWS CloudFormation templates
Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. It employs advanced deep learning technologies to understand user input, enabling developers to create chatbots, virtual assistants, and other applications that can interact with users in natural language. Managing your […]
Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex
The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. Voice bots, or conversational interactive voice response systems (IVR), use natural language processing (NLP) to understand customers’ questions and provide relevant answers. Businesses can automate responses to […]
How Citibot’s chatbot search engine uses AI to find more answers
Citibot is a technology company that builds AI-powered chat solutions for local governments such as Fort Worth, Texas; Charleston, South Carolina; and Arlington, Virginia. With Citibot, local residents can quickly get answers to city-related questions, report issues, and receive real-time alerts via text responses. To power these interactions, Citibot uses Amazon Lex, a service for building conversational interfaces for text and voice applications. Citibot built the chatbot to handle basic call queries, which allows government employees to allocate more time to higher-impact community actions.
Capturing and validating alphanumeric identifiers in Amazon Lex
Enterprises often rely on unique identifiers to look up information on accounts or events. For example, airlines use confirmation codes to locate itineraries, and insurance companies use policy IDs to retrieve policy details. In customer support, these identifiers are the first level of information necessary to address customer requests. Identifiers are typically a combination of […]
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 […]