One of the best cloud, business-ready machine learning solutions.
May 29, 2022

One of the best cloud, business-ready machine learning solutions.

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Personalize

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.

Pros

  • Ingest virtually unlimited quantities of transactional data.
  • Provide world-class training capabilities.
  • Provide a free-tier to start your project.

Cons

  • 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.
  • 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.

Do you think Amazon Personalize delivers good value for the price?

Yes

Are you happy with Amazon Personalize's feature set?

Yes

Did Amazon Personalize live up to sales and marketing promises?

Yes

Did implementation of Amazon Personalize go as expected?

Yes

Would you buy Amazon Personalize again?

Yes

AWS Batch, AWS Lambda, Amazon S3 (Simple Storage Service)
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.

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