AWS Machine Learning Blog

Category: Amazon Lex

Use Amazon Lex as a conversational interface with Twilio Media Streams

Businesses use the Twilio platform to build new ways to communicate with their customers: whether it’s fully automating a restaurant’s food orders with a conversational Interactive Voice Response (IVR) or building a next generation advanced contact center. With the launch of Media Streams, Twilio is opening up their Voice platform by providing businesses access to […]

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Empowering wheelchair users with a socially assistive robot running on Amazon Machine Learning

Loro is a socially assistive robot that helps users with physical limitations to more robustly experience their worlds by assisting with seeing, sensing, speaking, and interacting with surroundings.  Loro uses a range of AWS artificial intelligence (AI) and especially machine learning (ML) services to enable its broad range of use cases. Wheelchair users and others […]

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Schedule an appointment in Office 365 using an Amazon Lex bot

You can use chatbots for automating tasks such as scheduling appointments to improve productivity in enterprise and small business environments. In this blog post, we show how you can build the backend integration for an appointment bot with the calendar software in Microsoft Office 365 Exchange Online. For scheduling appointments, the bot interacts with the […]

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Machine learning: What’s in it for government?

Machine learning (ML) allows governments to deliver better, more cost-effective, and citizen-friendly services. We talked with three Amazon Web Services (AWS) customers from government authorities and institutes who shared their stories about how ML helped them transform their services and their organizations. These customers gathered at an executive learning track curated particularly for European Government […]

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Building a conversational business intelligence bot with Amazon Lex

Conversational interfaces are transforming the way people interact with software applications and services. They are untethering people from keyboards and smartphone gestures by replacing those interfaces with a more natural style of interaction: the spoken word. Increasingly, people are opting to interact with a bot when they need an answer to a question, to set […]

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No code chatbots: TIBCO uses Amazon Lex to put chat interfaces into the hands of business users

Users today don’t expect to be tied to a desktop computer. They want to interact with systems on the go, in a variety of ways that are convenient to them. This means that people often turn to mobile devices and interact with applications and systems while multi-tasking. Users might not even touch their mobile device while operating the apps they use, particularly when they are in a vehicle, or when they are actively engaged in another activity. In home environments, this “hands-free” capability is facilitated by voice activation systems.

Business users now aspire to the same experience in a business environment. They want to operate the applications and systems that they use in their daily work tasks using voice control, just like they do at home. Imagine how much simpler daily work tasks would be. However, adding voice controls to systems has not been easy. Voice integration can be a very involved project, even for skilled developers. Moreover, today’s business users want to solve their own tactical and strategic business problems by building “low code/no code” apps. Plus, business users want these apps to follow the same end-user requirements we mentioned earlier: They need to be able to be used on the go anywhere, anytime, hands-free.

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Create a translator chatbot using Amazon Translate and Amazon Lex

In this post, I create an intent in Amazon Lex for a translation action. This intent prompts the user for a source and target language, for example English to Spanish, followed by a text string to translate. Users are free to switch languages at any time during the interaction with Amazon Lex. The solution in the following illustration makes full use of Serverless Computing technologies to enable seamless scaling to thousands of users without the need for further engineering effort.

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Announcing the Artificial Intelligence (AI) Hackathon: Build Intelligent Applications using machine learning APIs and serverless

Amazon Web Services (AWS) brings image and video analysis, natural language processing, speech recognition, text-to-speech, and machine translation within the reach of every developer. With machine learning (ML) services by AWS, you can plug in prebuilt AI functionality into your apps without having to worry about ML models. Thousands of developers have used Amazon ML […]

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Amazon Lex integration with Genesys PureCloud IVR now available

We are excited to announce the general availability of the Amazon Lex and Genesys PureCloud integrated interactive voice response (IVR) solution. First launched in preview at re:Invent 2017, the solution allows Genesys customers to integrate Amazon Lex chatbots into the PureCloud  IVR flows to provide an enhanced conversational experience. About Genesys PureCloud The Genesys PureCloud platform […]

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