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IBM Watson Machine Learning pros and cons

Vendor: IBM
4.0 out of 5

Pros & Cons summary

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Prominent pros & cons

PROS

IBM Watson Machine Learning enhances workflow management for organizations.
Cost and human labor savings are significant benefits of IBM Watson Machine Learning.
Image classification is a particularly useful feature of IBM Watson Machine Learning.
IBM Watson Machine Learning contributes to improved customer satisfaction and self-service.
Scalability is highly rated, making IBM Watson Machine Learning flexible for growth.

CONS

Scaling is limited in some use cases and needs improvement for easier expansion.
There is a need for more reports comparing data processes through different AI or machine learning capabilities.
Enhanced GPU processing power is necessary to boost performance with large data sets.
The supporting language options are restricted.
A more flexible environment is desired for improved use, particularly with Generative AI.
 

IBM Watson Machine Learning Pros review quotes

RichardXu - PeerSpot reviewer
Data Science Lead at a mining and metals company with 10,001+ employees
Nov 5, 2020
The solution is very valuable to our organization due to the fact that we can work on it as a workflow.
reviewer1499484 - PeerSpot reviewer
Research Director, Network Security at a tech services company with 10,001+ employees
Jan 31, 2021
The most valuable aspect of the solution's the cost and human labor savings.
reviewer1485348 - PeerSpot reviewer
Software Engineer at a computer software company with 10,001+ employees
Feb 18, 2021
It is has a lot of good features and we find the image classification very useful.
Find out what your peers are saying about IBM, Google, TensorFlow and others in AI Development Platforms. Updated: January 2026.
881,082 professionals have used our research since 2012.
MA
CX Team Lead
Nov 14, 2022
It has improved self-service and customer satisfaction.
Anurag Mayank - PeerSpot reviewer
Manager at Maruti Suzuki India Limited
Mar 16, 2023
Scalability-wise, I rate the solution ten out of ten.
reviewer2319402 - PeerSpot reviewer
Director of Business Development at a educational organization with 1,001-5,000 employees
Jan 3, 2024
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.
Natalia Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
Jul 2, 2024
We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code.
 

IBM Watson Machine Learning Cons review quotes

RichardXu - PeerSpot reviewer
Data Science Lead at a mining and metals company with 10,001+ employees
Nov 5, 2020
Scaling is limited in some use cases. They need to make it easier to expand in all aspects.
reviewer1499484 - PeerSpot reviewer
Research Director, Network Security at a tech services company with 10,001+ employees
Jan 31, 2021
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.
reviewer1485348 - PeerSpot reviewer
Software Engineer at a computer software company with 10,001+ employees
Feb 18, 2021
They should add more GPU processing power to improve performance, especially when dealing with large amounts of data.
Find out what your peers are saying about IBM, Google, TensorFlow and others in AI Development Platforms. Updated: January 2026.
881,082 professionals have used our research since 2012.
MA
CX Team Lead
Nov 14, 2022
The supporting language is limited.
Anurag Mayank - PeerSpot reviewer
Manager at Maruti Suzuki India Limited
Mar 16, 2023
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.
reviewer2319402 - PeerSpot reviewer
Director of Business Development at a educational organization with 1,001-5,000 employees
Jan 3, 2024
In future releases, I would like to see a more flexible environment.
Natalia Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
Jul 2, 2024
Sometimes training the model is difficult.