Amazon Augmented AI vs IBM Watson Machine Learning comparison

Amazon Web Services (AWS) and IBM are both solutions in the AI Development Platforms category. Amazon Web Services (AWS) is ranked #16 with an average rating of 8.0, while IBM is ranked #14 with an average rating of 8.0. Amazon Web Services (AWS) holds a 0.5% mindshare in AIDP, compared to IBM’s 1.8% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Amazon Augmented AI

Read 1 Amazon Augmented AI review

287 Views
165 Comparison Views

100% willing to recommend

IBM Watson Machine Learning

Read 7 IBM Watson Machine Learning reviews

1,163 Views
857 Comparison Views

100% willing to recommend

Amazon Augmented AI

IBM Watson Machine Learning

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon Augmented AI and IBM Watson Machine Learning based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, Hugging Face and others in AI Development Platforms.

To learn more, read our detailed AI Development Platforms Report (Updated: June 2025).

Buyer's Guide

AI Development Platforms

June 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Augmented AI

Ranking in AI Development Platforms

16th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Watson Machine Learning

Ranking in AI Development Platforms

14th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the AI Development Platforms category, the mindshare of Amazon Augmented AI is 0.5%, down from 0.5% compared to the previous year. The mindshare of IBM Watson Machine Learning is 1.8%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms

Featured Reviews

reviewer2648256

Works

Automation reduces costs and boosts efficiency in financial tasks

I use Amazon Augmented AI for voice recognition and emotion recognition when I receive numerous emails, which are often not worth replying to. I rectify this with machine learning tools. I work in the financial industry, specializing in banks, insurance companies, government, and more The most…

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Anurag Mayank

Manager at Maruti Suzuki India Limited

A highly efficient solution that delivers the desired results to its users

I had not considered how the solution could be improved because I was focused on how it was helping me to solve my issues. If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use. It would be beneficial to incorporate more AI into the solution.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature of Amazon Augmented AI is its automation capability."

"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."

"It has improved self-service and customer satisfaction."

"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."

"Scalability-wise, I rate the solution ten out of ten."

"It is has a lot of good features and we find the image classification very useful."

"I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive."

"The most valuable aspect of the solution's the cost and human labor savings."

Cons

"There needs to be continuous monitoring and improvement, especially regarding security issues, to address threats from hackers."

"The development support, costing twenty-nine dollars per month, is almost ineffective, with long email response times."

"If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use."

"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."

"Sometimes training the model is difficult."

"Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."

"The supporting language is limited."

"In future releases, I would like to see a more flexible environment."

"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."

Pricing and Cost Advice

Information not available

"The pricing model is good."

"I've only been using the free tier, but it's quite competitive on a service basis."

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

17%

Financial Services Firm

11%

University

10%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Amazon Augmented AI?

The support levels offered by Amazon vary in cost. While the development support is cheap, it is inadequate, and the better support levels depend on usage, such as the number of virtual machines an...

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What needs improvement with Amazon Augmented AI?

There needs to be continuous monitoring and improvement, especially regarding security issues, to address threats from hackers. Libraries require more tweaking for ongoing development and improveme...

See all answers

What is your primary use case for Amazon Augmented AI?

See all answers

What do you like most about IBM Watson Machine Learning?

I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive.

See all answers

What is your experience regarding pricing and costs for IBM Watson Machine Learning?

The solution is expensive.

See all answers

What needs improvement with IBM Watson Machine Learning?

Sometimes training the model is difficult. We need to have at least a few different components to evaluate and understand the behavior of different users to have a very, very high accuracy in the m...

See all answers

Comparisons

Microsoft Azure Machine Learning Studio vs Amazon Augmented AI

Compared 48% of the time

Amazon SageMaker vs Amazon Augmented AI

Compared 38% of the time

Google Cloud AI Platform vs Amazon Augmented AI

Compared 14% of the time

More Amazon Augmented AI Competitors

Google Cloud AI Platform vs IBM Watson Machine Learning

Compared 62% of the time

Azure OpenAI vs IBM Watson Machine Learning

Compared 10% of the time

TensorFlow vs IBM Watson Machine Learning

Compared 8% of the time

Google Vertex AI vs IBM Watson Machine Learning

Compared 8% of the time

IBM Watson Studio vs IBM Watson Machine Learning

Compared 4% of the time

More IBM Watson Machine Learning Competitors

Product Reports

Buyer's Guide

AI Development Platforms

June 2025

Download Amazon Augmented AI product report

Buyer's Guide

AI Development Platforms

June 2025

Download IBM Watson Machine Learning product report

Also Known As

Amazon A2I

No data available

Overview

Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers.

Amazon Web Services (AWS)

IBM Watson Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment. With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud.

IBM

Sample Customers

T Mobile, VidMob, Ripcord, NHS BSA

Information Not Available

Buyer's Guide

AI Development Platforms

June 2025

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