We performed a comparison between Azure OpenAI 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."The high precision of information extraction is the most valuable feature."
"OpenAI integrates seamlessly with the broader Microsoft Azure ecosystem, and that provides synergies with the other solutions. This integration makes it much easier to build solutions."
"The most valuable feature is the ALM."
"The product is easy to integrate with our IT workflow."
"Azure OpenAI is useful for benchmarking products."
"Our clients are interested in building knowledge bases, particularly in child welfare. In this domain, we focus on supporting caseworkers by compiling and organizing relevant information. This information is then stored in a database using a query. The database generates summaries and reminders for specific actions and even facilitates sending emails to parents or other relevant parties. The system's complexity is tailored to the specific needs of child welfare cases. Additionally, we're exploring opportunities to assist a healthcare organization. Specifically, we're working on streamlining the process of filling out forms required for insurance claims. This effort aims to ensure that hospitals can receive funding or payment for the care they provide."
"The most valuable feature of Azure OpenAI stems from the GPT-3.5 models it provides to its users."
"OpenAI's models are more mature than Watson's. They offer a wider range of features and provide richer outputs."
"The scalability of IBM Watson Studio is great."
"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."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"The system's ability to take a look at data, segment it and then use that data very differently."
"Stability-wise, it is a great tool."
"It has a lot of data connectors, which is extremely helpful."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"IBM Watson Studio consistently automates across channels."
"We are awaiting the new updates like multi-model capabilities."
"The product must improve its dashboards."
"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."
"The solution needs to accommodate smaller companies."
"One area for improvement is providing more flexibility in configuration and connectivity with external tools."
"Latency performance is a major part. And I'm seeking support for multiple models that handle text, images, videos, and voice. I'm from India, and I'm looking for more support in Indian languages. There are 18 official languages and many more unofficial. We need support for these languages, especially in voice moderation, which is not yet available."
"There are certain shortcomings with the product's scalability and support team where improvements are required."
"The initial setup was complex."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"The main challenge lies in visibility and ease of use."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"I think maybe the support is an area where it lacks."
"The solution's interface is very slow at times."
Azure OpenAI is ranked 2nd in AI Development Platforms with 23 reviews while IBM Watson Studio is ranked 8th in AI Development Platforms with 13 reviews. Azure OpenAI is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of Azure OpenAI writes "Created a chatbot powered by OpenAI to answer HR, travel, and expense-related questions". On the other hand, the top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". Azure OpenAI is most compared with Google Vertex AI, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Hugging Face and IBM Watson Machine Learning, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Google Vertex AI, Amazon Comprehend and Anaconda. See our Azure OpenAI vs. IBM Watson Studio report.
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We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
