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IBM Watson Machine Learning vs PyTorch comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Watson Machine Learning
Ranking in AI Development Platforms
11th
Average Rating
8.0
Number of Reviews
7
Ranking in other categories
No ranking in other categories
PyTorch
Ranking in AI Development Platforms
8th
Average Rating
8.6
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the AI Development Platforms category, the mindshare of IBM Watson Machine Learning is 2.6%, up from 2.6% compared to the previous year. The mindshare of PyTorch is 1.5%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Anurag Mayank - PeerSpot reviewer
Mar 16, 2023
A highly efficient solution that delivers the desired results to its users
We started to use the solution for POCs in our organization. So, we are not in a state where we use its services at a full-fledged level. Additionally, we use it to solve our queries and understand whether it is actually helping us solve our problems. Basically, this is how we have been using the…
Arucy Lionel - PeerSpot reviewer
Nov 27, 2023
Offers good backward compatible and simple to use
We work a lot with text processing, vectorization, and other NLP tasks. Sometimes, we need to process websites, presentations, or optics quickly because they're used in user engines and other applications. We use PyTorch to test our implementations as well One of the things I really like about…

Quotes from Members

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

Pros

"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
"Scalability-wise, I rate the solution ten out of ten."
"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."
"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."
"It is has a lot of good features and we find the image classification very useful."
"The most valuable aspect of the solution's the cost and human labor savings."
"It has improved self-service and customer satisfaction."
"The product's initial setup phase is easy."
"For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn."
"yTorch is gaining credibility in the research space, it's becoming easier to find examples of papers that use PyTorch. This is an advantage for someone who uses PyTorch primarily."
"I like that PyTorch actually follows the pythonic way, and I feel that it's quite easy. It's easy to find compared to others who require us to type a long paragraph of code."
"We use PyTorch libraries, which are working well. It's very easy."
"Its interface is the most valuable. The ability to have an interface to train machine learning models and construct them with the high-level interface, without excess busting and reconstructing the same technical elements, is very useful."
"The framework of the solution is valuable."
"It’s reliable, secure and user-friendly. It allows you to develop any AIML project efficiently. PySearch is the best option for developing any project in the AIML domain. The product is easy to install."
 

Cons

"Sometimes training the model is difficult."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"The supporting language is limited."
"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."
"In future releases, I would like to see a more flexible environment."
"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."
"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."
"I would like a model to be available. I think Google recently released a new version of EfficientNet. It's a really good classifier, and a PyTorch implementation would be nice."
"There is not enough documentation about some methods and parameters. It is sometimes difficult to find information."
"The product has breakdowns when we change the versions a lot."
"I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques."
"The training of the models could be faster."
"I would like to see better learning documents."
"We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3."
"The product has certain shortcomings in the automation of machine learning."
 

Pricing and Cost Advice

"The pricing model is good."
"I've only been using the free tier, but it's quite competitive on a service basis."
"PyTorch is an open-source solution."
"PyTorch is open-sourced."
"It is free."
"The solution is affordable."
"PyTorch is open source."
"It is free."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
University
14%
Educational Organization
12%
Financial Services Firm
12%
Manufacturing Company
29%
Computer Software Company
11%
Healthcare Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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.
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...
What needs improvement with PyTorch?
We faced an issue with PyTorch due to version incompatibility. PyTorch has no latest version after v12.3. We also faced a few version compatibility issues with CUDA drivers.
 

Learn More

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Overview

Find out what your peers are saying about IBM Watson Machine Learning vs. PyTorch and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.