Category: HAQM Lex

In this post, we show you how to set up HAQM Lex for an omnichannel chatbot experience and HAQM Bedrock to be your secondary validation layer. This allows your customers to potentially provide out-of-band responses both at the intent and slot collection levels without having to be re-prompted, allowing for a seamless customer experience.

In this post, we show how you can integrate HAQM Lex with HAQM Bedrock Knowledge Bases and ServiceNow to provide 24/7 automated support and self-service options.

When building voice-enabled chatbots with HAQM Lex, one of the biggest challenges is accurately capturing user speech input for slot values. Transcription confidence scores can help ensure reliable slot filling. This blog post outlines strategies like progressive confirmation, adaptive re-prompting, and branching logic to create more robust slot filling experiences.

Global Resiliency is a new HAQM Lex capability that enables near real-time replication of your HAQM 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 […]

In this post, we demonstrate how to deploy a contextual AI assistant. We build a solution which provides users with a familiar and convenient interface using HAQM Bedrock Knowledge Bases, HAQM Lex, and HAQM Connect, with WhatsApp as the channel.

As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that […]

In today’s digital landscape, the protection of personally identifiable information (PII) is not just a regulatory requirement, but a cornerstone of consumer trust and business integrity. Organizations use advanced natural language detection services like HAQM Lex for building conversational interfaces and HAQM CloudWatch for monitoring and analyzing operational data. One risk many organizations face is […]

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 […]

This post is a continuation of Creating Natural Conversations with HAQM Lex QnAIntent and HAQM Bedrock Knowledge Base. In summary, we explored new capabilities available through HAQM Lex QnAIntent, powered by HAQM Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time, conversational experiences. In many cases, HAQM […]

Customer service organizations today face an immense opportunity. As customer expectations grow, brands have a chance to creatively apply new innovations to transform the customer experience. Although meeting rising customer demands poses challenges, the latest breakthroughs in conversational artificial intelligence (AI) empowers companies to meet these expectations. Customers today expect timely responses to their questions […]