AWS - Machine Learning

  • Machine Learning
  • 1 Product
  • 3 Case Studies
Putting machine learning in the hands of every developer

Oct 27

Optimizing costs for machine learning with Amazon SageMaker

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 […]

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Nov 23

Building natural conversation flows using context management in Amazon Lex

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 […]

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Nov 23

Customizing your machine translation using Amazon Translate Active Custom Translation

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 […]

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Nov 20

Getting started with Amazon Kendra ServiceNow Online connector

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 […]

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Products and Case Studies
AWS - Machine Learning - Amazon SageMaker

Machine learning for every developer and data scientist.

Case Study : Zocdoc Builds Patient Confidence Using Tensorflow

Zocdoc uses TensorFlow to match patients to doctors, reducing the wait time for appointments.

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Case Study : Formula 1 - Aws Fuels Analytics Through Machine Learning

Formula 1 Accelerates Cloud Transformation by Moving to AWS

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Case Study : Zendesk Enables Faster Customer Service Using Deep Learning

Speeding Development through Faster Deep-Learning Modeling

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Fritz - Nov 24 - Blog Post:
Attendance System Based On Face Recognition (Part I)

Your Face Is your Signature - facial recognition implementation

Unbabel - Nov 24 - Blog Post:
7 Tips to Create Machine-Friendly, Translatable Content for Customer Service

Machine translation success depends on the quality of the original content. In this post, we share seven tips to create...

Gini - Nov 24 - Blog Post:
Outstanding HR work: Gini wins HR Excellence Award 2020

Munich, November 23, 2020: Gini, a leading company for data extraction from documents and known for its photo payment, has...

Neptune - Nov 24 - Blog Post:
Pandas Plot: Deep Dive Into Plotting Directly with Pandas

Data Visualisation is an essential step in any data science pipeline. Exploring your data visually opens your mind to a...

Spiro Technologies - Nov 24 - Blog Post:
4 Bad Reasons to Leave a Sales Job (and 4 Good Ones)

We've put together a list of good and bad reasons to leave a sales job. Make sure to keep these...

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