IBM Watson Machine Learning vs IBM Watson Studio comparison

IBM Watson Machine Learning and IBM Watson Studio are both solutions in the AI Development Platforms category. IBM Watson Machine Learning is ranked #11 with an average rating of 8.5, while IBM Watson Studio is ranked #9 with an average rating of 8.2. IBM Watson Machine Learning holds a 2.6% mindshare in AIDP, compared to IBM Watson Studio’s 2.5% mindshare. Additionally, 100% of IBM Watson Machine Learning users are willing to recommend the solution, compared to 100% of IBM Watson Studio users who would recommend it.

IBM Watson Machine Learning

Read 7 IBM Watson Machine Learning reviews

1,348 Views
1,008 Comparison Views

100% willing to recommend

IBM Watson Studio

Read 13 IBM Watson Studio reviews

1,501 Views
940 Comparison Views

100% willing to recommend

IBM Watson Machine Learning

IBM Watson Studio

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Executive Summary

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

Find out in this report how the two AI Development Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Watson Machine Learning vs. IBM Watson Studio Report (Updated: October 2024).

Buyer's Guide

IBM Watson Machine Learning vs. IBM Watson Studio

October 2024

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Categories and Ranking

IBM Watson Machine Learning

Ranking in AI Development Platforms

11th

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Watson Studio

Ranking in AI Development Platforms

9th

Average Rating

8.2

Reviews Sentiment

8.0

Number of Reviews

Ranking in other categories

Data Science Platforms (12th)

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 IBM Watson Studio is 2.5%, 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

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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Abilio Duarte

Senior Solutions Architect at Self-employed

A highly robust and well-documented platform that simplifies the complex world of AI

The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.

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

"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."

"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."

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

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

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

"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."

"Stability-wise, it is a great tool."

"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."

"Watson Studio is very stable."

"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."

"It is a very stable and reliable solution."

"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."

"The solution is very easy to use."

More IBM Watson Studio pros

Cons

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

"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."

"Sometimes training the model is difficult."

"The supporting language is limited."

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

"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."

"We would like to see it more web-based with more functionality."

"I want IBM's technical support team to provide more specific answers to queries."

"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."

"The initial setup was complex."

"So a better user interface could be very helpful"

"Watson Studio would be improved with a clearer path for the deployment of docker images."

"The main challenge lies in visibility and ease of use."

"I think maybe the support is an area where it lacks."

More IBM Watson Studio cons

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."

"Watson Studio's pricing is reasonable for what you get."

"IBM Watson Studio is an expensive solution."

"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."

"IBM Watson Studio is a reasonably priced product"

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Top Industries

By visitors reading reviews

Computer Software Company

14%

University

14%

Financial Services Firm

12%

Educational Organization

12%

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

University

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.

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

What do you like most about IBM Watson Studio?

Stability-wise, it is a great tool.

See all answers

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

IBM Watson Studio is an expensive solution.

See all answers

What needs improvement with IBM Watson Studio?

From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users...

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Comparisons

Google Cloud AI Platform vs IBM Watson Machine Learning

Compared 65% of the time

Azure OpenAI vs IBM Watson Machine Learning

Compared 20% of the time

TensorFlow vs IBM Watson Machine Learning

Compared 10% of the time

More IBM Watson Machine Learning Competitors

Databricks vs IBM Watson Studio

Compared 26% of the time

Azure OpenAI vs IBM Watson Studio

Compared 15% of the time

Google Vertex AI vs IBM Watson Studio

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 13% of the time

Dataiku vs IBM Watson Studio

Compared 2% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

AI Development Platforms

November 2024

Download IBM Watson Machine Learning product report

Buyer's Guide

IBM Watson Studio

November 2024

Download IBM Watson Studio product report

Also Known As

No data available

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx

Learn More

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IBM

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IBM

Overview

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 Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

Sample Customers

Information Not Available

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

IBM Watson Machine Learning vs. IBM Watson Studio

October 2024

Free Report: IBM Watson Machine Learning vs. IBM Watson Studio

Find out what your peers are saying about IBM Watson Machine Learning vs. IBM Watson Studio and other solutions. Updated: October 2024.

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