IBM Watson Machine Learning OverviewUNIXBusinessApplication

What is IBM Watson Machine Learning?

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.

Buyer's Guide

Download the AI Development Platforms Buyer's Guide including reviews and more. Updated: September 2021

IBM Watson Machine Learning Video

Pricing Advice

What users are saying about IBM Watson Machine Learning pricing:
  • "The pricing model is good."

IBM Watson Machine Learning Reviews

Filter by:
Filter Reviews
Industry
Loading...
Filter Unavailable
Company Size
Loading...
Filter Unavailable
Job Level
Loading...
Filter Unavailable
Rating
Loading...
Filter Unavailable
Considered
Loading...
Filter Unavailable
Order by:
Loading...
  • Date
  • Highest Rating
  • Lowest Rating
  • Review Length
Search:
Showingreviews based on the current filters. Reset all filters
AH
Research Director, Network Security at a tech services company with 10,001+ employees
Real User
Top 5
Good automation capabilities and saves companies money but there's not real market comparison to tests accuracy

What is our primary use case?

Most of the use cases have been around taking in a lot of human-created data by providers. For example, electronic medical records including the notes, the information, and the clinical aspect of care. What they're typically trying to do is adjust a lot of that type of information. Sometimes there is member feedback or member sentiment that's captured. The idea is to try to quickly assess and analyze that information and then prioritize it. The goal is to put the data in buckets for particular use around quality improvement and around identifying risks earlier, and things of that nature.

Pros and Cons

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

What other advice do I have?

I'm not a consultant or a reseller. I've only dealt with this solution in the past as a user, for the most part. When done right, this automation can be very helpful. There are companies that were pioneers in this space. For example, Autonomy, which was purchased by Hewlett Packard. However, in that case, it was an epic failure. They've been in a lawsuit for the last decade. I've been more focused on other parts of healthcare information. So honestly I'd say in the last probably two, two and a half years, I haven't really dug into the analytic capability. I would advise other organizations to…
RX
Data Science Lead at a mining and metals company with 10,001+ employees
Real User
Top 5Leaderboard
Stable and scalable, but not easy to expand

What is our primary use case?

We primarily use the solution for data science purposes. We use it for the deep learning, machine learning, and classification of the data.

Pros and Cons

  • "The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
  • "Scaling is limited in some use cases. They need to make it easier to expand in all aspects."

What other advice do I have?

I'm not sure which version of the solution we're using right now. I'd recommend the solution to other users. It's more flexible than, say, Dataiku, even though their service can be a little bad sometimes. I'd rate the solution seven out of ten. It can handle most of the work we need it to do.
Find out what your peers are saying about IBM, TensorFlow, PyTorch and others in AI Development Platforms. Updated: September 2021.
536,244 professionals have used our research since 2012.
SG
Software Engineer at a computer software company with 10,001+ employees
Real User
Top 5
Feature-rich, good image classification capabilities, and support from IBM is good

What is our primary use case?

We are using this product to do some R&D work.

Pros and Cons

  • "It is has a lot of good features and we find the image classification very useful."
  • "They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."

What other advice do I have?

This is a product that I definitely recommend. I would rate this solution an eight out of ten.
Product Categories
AI Development Platforms
Buyer's Guide
Download our free AI Development Platforms Report and find out what your peers are saying about IBM, TensorFlow, PyTorch, and more!