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Azure OpenAI pros and cons

Vendor: Microsoft
4.0 out of 5
Badge Ranked 1
144 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

Users value the high precision of information extraction offered by Azure OpenAI.
The use of GPT-3.5 models in Azure OpenAI is a highlight for users, providing advanced conversational capabilities.
Azure OpenAI's integration into the Microsoft Azure ecosystem creates synergies and eases solution building.
The managed service's quick turnaround time, strong scalability, and ease of use are appreciated by users.
Azure OpenAI has significantly reduced costs and increased efficiency, particularly in tasks like data analytics and content creation.

CONS

Customers express concerns regarding data management, ethical, and security issues.
Latency and scalability are identified as areas requiring improvement.
Azure OpenAI's support services and resources for initial configurations are viewed as lacking.
Challenges exist in ensuring responses are solely based on user data without sources outside the agreed scope.
Concerns about pricing clarity have been highlighted, with a need for standardized documentation.
 

Azure OpenAI Pros review quotes

NJ
Mar 15, 2024
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.
KiranKumar16 - PeerSpot reviewer
Dec 11, 2023
My goal was to create an experience where project managers don't have to read through entire documents. Instead, they can ask a question and receive relevant point analysis. This analysis identifies the document and specific section where the information resides. Previously, users had to rely on these document references. Now, Azure OpenAI enhances the experience by providing the answer directly in the user's own language, relevant to their context.
Anup Karade - PeerSpot reviewer
Feb 28, 2024
OpenAI's models are more mature than Watson's. They offer a wider range of features and provide richer outputs.
Learn what your peers think about Azure OpenAI. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
823,606 professionals have used our research since 2012.
SaurabhSingh1 - PeerSpot reviewer
May 27, 2024
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.
reviewer1798791 - PeerSpot reviewer
Mar 8, 2024
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.
Sohaib Gill - PeerSpot reviewer
Apr 22, 2024
You just have to write accurate prompts according to your requirements, and the solution gives very good results.
Viswanath Barenkala - PeerSpot reviewer
May 16, 2024
Azure OpenAI has significantly reduced costs and increased efficiency in tasks such as aggressive testing of systems to avoid anomalies and trust issues.
MADHAV CHABLANI - PeerSpot reviewer
Feb 5, 2024
The product's initial setup phase was pretty easy.
NH
Sep 27, 2023
The solution has a very drag-and-drop environment. Instead of coding something from scratch or understanding any concept in extensive depth before deployment, this is good. Plus, they have an auto dataset, which means you can choose any dataset they have instead of providing your own. So that's also pretty nice.
AS
Dec 8, 2023
Generative AI or GenAI seems to be the best part of the solution.
 

Azure OpenAI Cons review quotes

NJ
Mar 15, 2024
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.
KiranKumar16 - PeerSpot reviewer
Dec 11, 2023
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.
Anup Karade - PeerSpot reviewer
Feb 28, 2024
We are awaiting the new updates like multi-model capabilities.
Learn what your peers think about Azure OpenAI. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
823,606 professionals have used our research since 2012.
SaurabhSingh1 - PeerSpot reviewer
May 27, 2024
I faced one issue with Azure OpenAI: My customer wanted more clarity on the pricing. They were not able to get proper answers from the documentation or the pricing calculator. I suggest that Microsoft maintain standardization in the pricing details published in the documentation and the pricing calculator.
reviewer1798791 - PeerSpot reviewer
Mar 8, 2024
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.
Sohaib Gill - PeerSpot reviewer
Apr 22, 2024
The solution's response is a bit slow sometimes.
Viswanath Barenkala - PeerSpot reviewer
May 16, 2024
One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use.
MADHAV CHABLANI - PeerSpot reviewer
Feb 5, 2024
Azure OpenAI is not an optimized tool yet, making it one of its shortcomings where improvements are required.
NH
Sep 27, 2023
Deployment was slightly complex for me to understand.
AS
Dec 8, 2023
There are certain shortcomings with the product's scalability and support team where improvements are required.