We just raised a $30M Series A: Read our story

IBM Watson Machine Learning Pros and Cons

IBM Watson Machine Learning Pros

AH
Research Director, Network Security at a tech services company with 10,001+ employees
The most valuable aspect of the solution's the cost and human labor savings.
View full review »
RX
Data Science Lead at a mining and metals company with 10,001+ employees
The solution is very valuable to our organization due to the fact that we can work on it as a workflow.
View full review »
SG
Software Engineer at a computer software company with 10,001+ employees
It is has a lot of good features and we find the image classification very useful.
View full review »

IBM Watson Machine Learning Cons

AH
Research Director, Network Security at a tech services company with 10,001+ employees
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.
View full review »
RX
Data Science Lead at a mining and metals company with 10,001+ employees
Scaling is limited in some use cases. They need to make it easier to expand in all aspects.
View full review »
SG
Software Engineer at a computer software company with 10,001+ employees
They should add more GPU processing power to improve performance, especially when dealing with large amounts of data.
View full review »
Find out what your peers are saying about IBM, TensorFlow, PyTorch and others in AI Development Platforms. Updated: November 2021.
552,695 professionals have used our research since 2012.