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
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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
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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
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Shared by AWS Machine Learning March 23, 2022
Favorite Here are 5 key skill areas you must not ignore when putting together your Knowledge Management implementation team. You need to have all of them on the team. Image from wikimedia commons You know the four enablers of People, Process, Technology and Governance? What we call the four legs on the
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Shared by Nick Milton March 21, 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.
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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
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Shared by AWS Machine Learning March 18, 2022
Favorite One of the most interesting parts of working at Google is learning what other people do here — it’s not uncommon to come across a job title you’ve never heard of. For example: ProFair Program Manager, or ProFair Analyst. These roles are part of our Responsible Innovation team, which
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Shared by Google AI Technology March 17, 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
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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,
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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
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Shared by AWS Machine Learning March 16, 2022
Shared by AWS Machine Learning March 23, 2022
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