Applications based on machine learning (ML) can provide tremendous business value. Using ML, we can solve some of the most complex engineering problems that previously were infeasible. One of the advantages of running ML on the AWS Cloud is that you can continually optimize your workloads and reduce your costs. In this post, we discuss […]
Understanding the direction and context of an ever-evolving conversation is beneficial to building natural, human-like conversational interfaces. Being able to classify utterances as the conversation develops requires managing context across multiple turns. Consider a caller who asks their financial planner for insights regarding their monthly expenses: “What were my expenses this year?” They may also […]
When translating the English phrase “How are you?” to Spanish, would you prefer to use “¿Cómo estás?” or “¿Cómo está usted?” instead? Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Today, we’re excited to introduce Active Custom Translation (ACT), a feature that gives you more control over […]
Amazon Kendra is a highly accurate and easy-to-use intelligent search service powered by machine learning (ML). To make it simple to search data across multiple content repositories, Amazon Kendra offers a number of native data source connectors to help get your documents easily ingested and indexed. This post describes how you can use the Amazon […]
Products and Case Studies
AWS - Machine Learning - Amazon SageMaker
Machine learning for every developer and data scientist.
Zocdoc uses TensorFlow to match patients to doctors, reducing the wait time for appointments.Save to Library
Formula 1 Accelerates Cloud Transformation by Moving to AWSSave to Library
Speeding Development through Faster Deep-Learning ModelingSave to Library
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