Category: Alexa

In this post, we discuss how to use the AWS Cloud and its services to accelerate observational studies for life sciences customers. We provide a reference architecture for architects, business owners, and technology decision-makers in the life sciences industry to automate the processes in clinical studies. Observational studies lead the way in research, allowing you […]

Are you interested in the latest advancements in voice and natural language processing (NLP) technology? Maybe you’re curious about how you can use these technologies to build with Alexa? We’re excited to share that Alexa Live—a free virtual developer education event hosted by the Alexa team—is back for its second year on July 22, 2020. […]

Amazon Alexa is available in 15 locales and eight languages. To understand and respond in different languages, Alexa needs to learn new grammar rules, and the content that powers Alexa needs to be translated to new languages. Additionally, Alexa needs to learn about country-specific topics, such as new soccer leagues, regional celebrities, and important historical […]

April 2023 Update: Starting January 31, 2024, you will no longer be able to access AWS DeepLens through the AWS management console, manage DeepLens devices, or access any projects you have created. To learn more, refer to these frequently asked questions about AWS DeepLens end of life. August 30, 2023: Amazon Kinesis Data Analytics has been […]

If our users are using Question and Answer Bot (QnABot), and they are getting the right answers for their questions, what else can you do for them? Now you can create a bot to guide them through a series of logically connected answers. This means, for example, that the bot can guide them through the […]

In the Create a Question and Answer Bot with Amazon Lex and Amazon Alexa blog post, we showed you how you could create a QnABot (pronounced “Q and A Bot”) for a situation in which your users have questions and you have answers. Now, what if this situation were reversed? What if you could ask […]

Amazon Polly is a service that turns text into lifelike speech. Using Amazon Polly you can create applications that talk and build entirely new categories of speech-enabled products. Starting today, you can apply to participate in a developer preview that allows you to use eight English (U.S.) Amazon Polly voices to narrate your Alexa skills.

If your skill uses only a single voice today, you can try changing the voice or adding different voices in the right places to provide an even more engaging experience. Developers in the preview can select a different voice for any utterance by constructing output speech using the Structured Speech Markup Language (SSML) and specifying an Amazon Polly voice using the voice tag for free in Alexa skills. Note that SSML tags that are only available through the Amazon Polly service and not through Alexa skills will not be available when you use this new capability.

Your users have questions and you have answers, but you need a better way for your users to ask their questions and get the right answers. They often call your help desk, or post to your support forum, but over time this adds stress and cost to your organization. Could a chat bot add value for your customers? Interestingly, a recent poll shows that 44% of people would rather talk to a chat bot than to a human! In this post we provide a sample solution, called QnABot (pronounced “Q and A Bot”). The QnABot uses Amazon Lex and Amazon Alexa to provide a conversational interface for your “Questions and Answers.” This allows your users to ask their questions and get quick and relevant answers.