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IBM Watson Machine Learning vs Prem Studio comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

IBM Watson Machine Learning
Ranking in AI Development Platforms
15th
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Prem Studio
Ranking in AI Development Platforms
16th
Average Rating
10.0
Reviews Sentiment
1.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Anurag Mayank - PeerSpot reviewer
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.
reviewer2760291 - PeerSpot reviewer
Has accelerated AI solution development through automated evaluation and fine-tuning
Prem Studio allowed me to easily automate and solve the complicated problem of exploring and identifying the best AI architecture for our problems. Prem Studio has a straightforward yet powerful approach to evaluate disparate AI architectures on our business problems and to accurately fine-tune the most promising ones. This significantly reduced time-to-market, almost by a factor of ten in my case, for solutions tailored and optimized for customer requirements and KPIs.

Quotes from Members

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

Pros

"It has improved self-service and customer satisfaction."
"Scalability-wise, I rate the solution ten out of ten."
"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."
"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."
"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."
"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
"The dataset management feature and the managed finetuning are the most valuable because they save the most time."
 

Cons

"The supporting language is limited."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"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."
"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."
"Sometimes training the model is difficult."
"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."
"The inference should be faster."
 

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."
Information not available
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Top Industries

By visitors reading reviews
University
13%
Computer Software Company
12%
Financial Services Firm
11%
Educational Organization
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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 is your experience regarding pricing and costs for Prem Studio?
To maximize the effectiveness of fine-tuning, I would suggest using the parallelism features of the platform. This allows fine-tuning and evaluating multiple models at the same time, making compari...
What needs improvement with Prem Studio?
Prem Studio is perfect for text input and output. We requested support for vLM, which should be available soon.
What is your primary use case for Prem Studio?
I use Prem Studio to automate fine-tuning and evaluation of AI solutions.
 

Overview

Information not available
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