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Favorite This is the second post in a two-part series in which I propose a practical guide for organizations so you can assess the quality of text summarization models for your domain. For an introduction to text summarization, an overview of this tutorial, and the steps to create a baseline
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Shared by AWS Machine Learning March 24, 2022
Favorite Amazon Search’s vision is to enable customers to search effortlessly. Our spelling correction helps you find what you want even if you don’t know the exact spelling of the intended words. In the past, we used classical machine learning (ML) algorithms with manual feature engineering for spelling correction. To
Read More Shared by AWS Machine Learning March 23, 2022
Favorite This post was co-written by John Heater, SVP of the Contact Center Practice at NeuraFlash. NeuraFlash is an Advanced AWS Partner with over 40 collective years of experience in the voice and automation space. With a dedicated team of conversation designers, data engineers, and AWS developers, NeuraFlash helps customers take
Read More Shared by AWS Machine Learning March 23, 2022
Favorite Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can easily build sophisticated, natural language, conversational bots (chatbots), virtual agents, and interactive voice response (IVR) systems. You can now use industry grammars to accelerate IVR development on Amazon
Read More Shared by AWS Machine Learning March 23, 2022
Favorite Conversational AI can deliver powerful, automated, interactive experiences through voice and text. Amazon Lex is a service that combines automatic speech recognition and natural language understanding technologies, so you can build these sophisticated conversational experiences. A common application of conversational AI is found in contact centers: self-service virtual agents.
Read More Shared by AWS Machine Learning March 19, 2022
Favorite Organizational forms serve as a primary business tool across industries—from financial services, to healthcare, and more. Consider, for example, tax filing forms in the tax management industry, where new forms come out each year with largely the same information. AWS customers across sectors need to process and store information
Read More Shared by AWS Machine Learning March 18, 2022
Favorite In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as
Read More Shared by AWS Machine Learning March 17, 2022
Favorite In this post, we demonstrate how to create an automated email response solution using Amazon Comprehend. Organizations spend lots of resources, effort, and money on running their customer care operations to answer customer questions and provide solutions. Your customers may ask questions via various channels, such as email, chat,
Read More Shared by AWS Machine Learning March 16, 2022
Favorite Critical information can be scattered across multiple data sources in your organization, including sources such as Windows file systems stored on Amazon FSx for Windows File Server. You can now use the Amazon Kendra connector for FSx for Windows File Server to index documents (HTML, PDF, MS Word, MS
Read More Shared by AWS Machine Learning March 16, 2022
Favorite Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. However, making this knowledge
Read More Shared by AWS Machine Learning March 16, 2022