Favorite Today, customers interact with brands over an increasingly large digital and offline footprint, generating a wealth of interaction data known as behavioral data. As a result, marketers and customer experience teams must work with multiple overlapping tools to engage and target those customers across touchpoints. This increases complexity, creates

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Shared by AWS Machine Learning March 30, 2022

Favorite Amazon Kendra is an intelligent search service powered by machine learning. You can receive spelling suggestions for misspelled terms in your queries by utilizing the Amazon Kendra Spell Checker. Spell Checker helps reduce the frequency of queries returning irrelevant results by providing spelling suggestions for unrecognized terms. In this

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Shared by AWS Machine Learning March 26, 2022

Favorite This post is co-written by Shibangi Saha, Data Scientist, and Graciela Kravtzov, Co-Founder and CTO, of Equilibrium Point. Many individuals are experiencing new symptoms of mental illness, such as stress, anxiety, depression, substance use, and post-traumatic stress disorder (PTSD). According to Kaiser Family Foundation, about half of adults (47%)

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Shared by AWS Machine Learning March 26, 2022

Favorite This is a guest post co-authored by Taylor Names, Staff Machine Learning Engineer, Dev Gupta, Machine Learning Manager, and Argie Angeleas, Senior Product Manager at Ibotta. Ibotta is an American technology company that enables users with its desktop and mobile apps to earn cash back on in-store, mobile app,

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Shared by AWS Machine Learning March 24, 2022

Favorite When OpenAI released the third generation of their machine learning (ML) model that specializes in text generation in July 2020, I knew something was different. This model struck a nerve like no one that came before it. Suddenly I heard friends and colleagues, who might be interested in technology

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Shared by AWS Machine Learning March 24, 2022

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

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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 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