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Amazon Personalize

Amazon Personalize

Overview

What is Amazon Personalize?

Amazon Personalize uses machine learning algorithms to create recommendations that respond to the specific needs, preferences, and changing behavior of users in real-time, to drive increased customer engagement.

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Pricing

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What is Amazon Personalize?

Amazon Personalize uses machine learning algorithms to create recommendations that respond to the specific needs, preferences, and changing behavior of users in real-time, to drive increased customer engagement.

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Amazon Personalize?

Amazon Personalize Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Reviews and Ratings

(8)

Reviews

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Score 9 out of 10
Vetted Review
Verified User
Incentivized
We were looking for a platform to generate user segmentation based on their platform usage. Our platform provides billing and invoicing applications to various kinds of businesses. As a by-product, we generate transactional data that we wanted to use to segment usage data in groups around their hours of operation, transaction amounts, and product/service types.
  • Ingest virtually unlimited quantities of transactional data.
  • Provide world-class training capabilities.
  • Provide a free-tier to start your project.
  • Getting started may be hard for someone without prior machine learning experience.
  • IDE tools may help business users utilize these tools without the help of a programmer.
Amazon Personalize is well suited for business cases where you need to produce quality predictions and/or machine learning models using high amounts of data. It's convenient if you have a technical team with programming capabilities (ie. Python). Amazon Personalize may not be a good fit if you don't have technical capabilities in your team, as these are needed to really use it a full capacity.
  • Support for real-time recommendations.
  • Ease of integration with other tools using APIs.
  • Support for analyzing unstructured information (ie. texts).
  • We managed to analyze huge amounts of data from transactional records.
  • We produced 5 different user/profile segments for our marketing team.
  • We learned how to power marketing predictions using machine learning.
AWS Batch, AWS Lambda, Amazon S3 (Simple Storage Service)
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