Machine learning inference at scale using AWS serverless

Favorite With the growing adoption of Machine Learning (ML) across industries, there is an increasing demand for faster and easier ways to run ML inference at scale. ML use cases, such as manufacturing defect detection, demand forecasting, fraud surveillance, and many others, involve tens or thousands of datasets, including images,

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Shared by AWS Machine Learning November 17, 2021

Postprocessing with Amazon Textract: Multi-page table handling

Favorite Amazon Textract is a machine learning (ML) service that automatically extracts printed text, handwriting, and other data from scanned documents that goes beyond simple optical character recognition (OCR) to identify and extract data from forms and tables. Currently, thousands of customers are using Amazon Textract to process different types

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Shared by AWS Machine Learning November 17, 2021

Announcing conversational AI partner solutions

Favorite We are excited to announce the availability of AWS conversational AI partner solutions, which enables enterprises to implement high-quality, highly effective chatbot, virtual assistant, and Interactive Voice Response (IVR) solutions through the domain expertise of AWS Partners and AWS AI and machine learning (ML) services. The partners highlighted in

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Shared by AWS Machine Learning November 16, 2021

Monitor operational metrics for your Amazon Lex chatbot

Favorite Chatbots are increasingly becoming an important channel for companies to interact with their customers, employees, and partners. Amazon Lex allows you to build conversational interfaces into any application using voice and text. Amazon Lex V2 console and APIs make it easier to build, deploy, and manage bots so that you

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Shared by AWS Machine Learning November 13, 2021

Customize Amazon Translate output to meet your domain and organization specific vocabulary

Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. When you translate from one language to another, you want your machine translation to be accurate, fluent, and most importantly contextual. Customization is key in keeping your machine translation contextual. Amazon Translate

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Shared by AWS Machine Learning November 12, 2021