AWS Machine Learning Blog
Tag: chatbots
Build a multi-interface AI assistant using HAQM Q and Slack with HAQM CloudFront clickable references from an HAQM S3 bucket
There is consistent customer feedback that AI assistants are the most useful when users can interface with them within the productivity tools they already use on a daily basis, to avoid switching applications and context. Web applications like HAQM Q Business and Slack have become essential environments for modern AI assistant deployment. This post explores how diverse interfaces enhance user interaction, improve accessibility, and cater to varying preferences.
Principal Financial Group uses QnABot on AWS and HAQM Q Business to enhance workforce productivity with generative AI
In this post, we explore how Principal used QnABot paired with HAQM Q Business and HAQM Bedrock to create Principal AI Generative Experience: a user-friendly, secure internal chatbot for faster access to information. Using generative AI, Principal’s employees can now focus on deeper human judgment based decisioning, instead of spending time scouring for answers from data sources manually.
HAQM Lex Now Supports Telephony Audio (8 kHz) for Increased Speech Recognition Accuracy
To increase the accuracy of speech recognition for conversations over the phone, HAQM Lex now supports telephony audio (8 kHz). You can now employ the same deep learning technology as HAQM Alexa to converse with your applications and fulfill the most common requests. HAQM Lex maintains context and dynamically manages the dialogue, adjusting responses based […]
AI Tech Talk: Introducing HAQM Lex – A Service for Building Voice or Text Chatbots
HAQM Lex is a service for building conversational interfaces into any application using voice and text. Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user […]