Friday, 27 December 2019

Now Amazon Lex offers assistance for Conversation Logs

Amazon Lex is an entirely organised service for creating conversational interfaces into any application with voice and text. Amazon Lex gives the advanced deep learning functionalities of automatic speech recognition (ASR) for translating speech to text, and natural language understanding (NLU) to identify the intent of the text, to allow you to design applications with extremely occupying user experiences and realistic conversational interactions. Amazon Lex controls the dialogue and dynamically modifies the responses in the conversation. The deep learning technologies that control Amazon Alexa are now accessible to any developer, allowing you to fast and simply create sophisticated, natural language, conversational bots (“chatbots”). Now Amazon Lex assists the potential to keep chat history. Now, you can configure logging of audio input to an S3 bucket and text input to CloudWatch Logs. Previously, you had to write custom logic to record interactions. You can right awy allow audio and text logging for your Lex bot using Conversation Logs. To secure sensitive data captured as slot values, you can activate slot obfuscation to mask those values for logging. Additionally, the input transcript, the logs holds data like matched intent and missed utterances. Conversation Logs allows you to observe bot interactions, explore conversations for constant upgrade, and record chat history for auditing. Now Conversation Logs is accessible in the US East (N. Virginia), US West (Oregon), EU West (Ireland), and Asia Pacific (Sydney) AWS Regions. To read more further information, read documentation.

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