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Azure OpenAI vs IBM Watson Machine Learning comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure OpenAI
Ranking in AI Development Platforms
1st
Average Rating
8.0
Number of Reviews
30
Ranking in other categories
No ranking in other categories
IBM Watson Machine Learning
Ranking in AI Development Platforms
11th
Average Rating
8.0
Number of Reviews
7
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the AI Development Platforms category, the mindshare of Azure OpenAI is 22.2%, up from 17.3% compared to the previous year. The mindshare of IBM Watson Machine Learning is 2.6%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Development Platforms
 

Featured Reviews

Anup Karade - PeerSpot reviewer
Feb 28, 2024
Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions
We have created our own platform called CanvasAI. It provides machine-learning plumbing and integration with your services. So, we've integrated Azure OpenAI through Canvas. We're also looking at some hard interface modeling from AWS as well. We access Azure OpenAI solutions for our business workflow via the platform, not directly from the service provider. There are security considerations we're working through with the security team, etc. Canvas provides the control plane, which handles RBAC for user registration and model management. For internal processes, we're using OpenAI to create partner call reports, like summarizing quarterly zip code data and other financial models. We also use it for legal and contract stuff, like comparing SOWs and contracts. For user experience, we've created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions.
Anurag Mayank - PeerSpot reviewer
Mar 16, 2023
A highly efficient solution that delivers the desired results to its users
We started to use the solution for POCs in our organization. So, we are not in a state where we use its services at a full-fledged level. Additionally, we use it to solve our queries and understand whether it is actually helping us solve our problems. Basically, this is how we have been using the…

Quotes from Members

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

Pros

"It is easy to integrate and develop a solution. Most customers are concerned about the security of their data and how cost-effective it is. We have developed some methodologies so that our customers will not be charged too much for these OpenAI services but will still get the same kind of performance and results. It's all developed on Azure, so customers also see its benefit."
"The most valuable features include analyzing comments and preparing requests for customers, making emails easier and faster."
"It's very powerful. It allows users to query our documents using natural language and receive answers in the same way. This makes our product information much more accessible than traditional keyword-based search."
"Azure OpenAI is useful for benchmarking products."
"The high precision of information extraction is the most valuable feature."
"The document intelligence feature has significantly aided in our operations, facilitating the creation of descriptive content."
"We have many use cases for the solution, such as digitalizing records, a chatbot looking at records, and being able to use generative AI on them."
"The most valuable feature is the ALM."
"It is has a lot of good features and we find the image classification very useful."
"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."
"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 has improved self-service and customer satisfaction."
"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."
 

Cons

"The dialogue manager needs to be improved."
"Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required."
"The product features themselves are fine. However, with Microsoft scaling the service so much, the support structure needs to keep pace. When solving complex issues, the process of interacting with Microsoft can be quite time-consuming."
"In the next release, they could enhance the product's features for even greater usability and efficiency."
"One area for improvement is providing more flexibility in configuration and connectivity with external tools."
"Azure OpenAI is not available in all regions, and its technical support should be improved."
"Deployment was slightly complex for me to understand."
"Since we don't train the model on our data, it's a struggle to ensure OpenAI answers questions exclusively from our data. During user testing, we found ways to make the system provide answers from outside sources."
"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."
"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."
"The supporting language is limited."
"Sometimes training the model is difficult."
"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."
"In future releases, I would like to see a more flexible environment."
 

Pricing and Cost Advice

"According to the negotiations taking place and the contract, there is a need to make either monthly or yearly payments to use the solution."
"The cost structure depends on the volume of data processed and the computational resources required."
"The solution's pricing is normal worldwide but expensive in Turkey because Turkey's currency is different."
"We started with monthly payments, but we plan to switch to yearly billing once we've stabilized our solution."
"The cost is pretty high. Even by US standards, you would find it high."
"Cost-wise, the product's price is a bit on the higher side."
"Azure OpenAI is a bit more expensive than other services."
"I'm uncertain about the licensing, specifically the pricing. This falls under the purview of other teams, particularly the sales teams. I am not informed about the pricing details."
"I've only been using the free tier, but it's quite competitive on a service basis."
"The pricing model is good."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
11%
Educational Organization
6%
Computer Software Company
14%
University
14%
Financial Services Firm
12%
Educational Organization
12%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Azure OpenAI?
The product is easy to integrate with our IT workflow.
What is your experience regarding pricing and costs for Azure OpenAI?
The pricing really depends on the specific requirements and underlying needs. For example, if the goal is to implement innovative solutions for the future or to improve productivity in decision-mak...
What needs improvement with Azure OpenAI?
For my needs, when working with interactive dashboards, it's expensive. I would prefer a system that provides alternative dashboard options or allows me to go directly into the program and pinpoint...
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...
 

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Overview

Find out what your peers are saying about Azure OpenAI vs. IBM Watson Machine Learning and other solutions. Updated: October 2024.
815,854 professionals have used our research since 2012.