Azure OpenAI Reviews

Name: Azure OpenAI
Brand: Microsoft
Rating: 4.0 (30 reviews)

Vendor: Microsoft

4.0 out of 5

30 reviews
92% willing to recommend

144 followers

Post review

What is Azure OpenAI?

Azure OpenAI integrates advanced language models with robust security for precise information extraction and task automation. Its seamless Azure integration and drag-and-drop interface simplify implementation and enhance accessibility.

Get the Azure OpenAI Buyer's Guide and find out what your peers are saying about Azure OpenAI, Microsoft Azure Machine Learning Studio, Amazon SageMaker and more!

Azure OpenAI is the #1 ranked solution in top AI Development Platforms. PeerSpot users give Azure OpenAI an average rating of 8.0 out of 10. Based on the analysis of the 30 most recent Azure OpenAI reviews, the overall sentiment is positive, with a sentiment score of 6.7. (Among the lowest in the category). Azure OpenAI is most commonly compared to Microsoft Azure Machine Learning Studio: Azure OpenAI vs Microsoft Azure Machine Learning Studio. Azure OpenAI is popular among the large enterprise segment, accounting for 66% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 15% of all views.

Helped 824,067 peers since 2012

Featured reviews

Anup Karade

Associate Vice President at LTIMindtree

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.

Read full review

Viswanath Barenkala

Associate Vice President at State Street

Instead of a feature, the GPT-4 model has been most beneficial for automating tasks. We transitioned from GPT-3.5 to GPT-4 and actively use it. However, we face limitations due to geographic availability, subscription constraints, and rate limiting, which we are currently negotiating and working towards optimizing. While we haven't formally benchmarked Azure OpenAI's language understanding against industry standards, we find it performs well about 70-80% of the time. Occasionally, we need to refine our queries and adapt our systems accordingly to improve accuracy and effectiveness.

Read full review

Takayuki Umehara

Public Cloud at KDDI Corporation

We use it to streamline and reduce the time spent on fundamental tasks within our organization There are ongoing issues with Azure in Japan. Enhancing customer understanding of AI and how it operates, and laying the foundation for effective collaboration would be beneficial. Also, optimizing data…

Read full review

Azure OpenAI mindshare

As of December 2024, the mindshare of Azure OpenAI in the AI Development Platforms category stands at 22.2%, up from 18.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

AI Development Platforms

PeerAnalyst reports

Type	Title	Date
Category	AI Development Platforms	Dec 21, 2024	Download
Product	Reviews, tips, and advice from real users	Dec 21, 2024	Download
Comparison	Azure OpenAI vs Google Vertex AI	Dec 21, 2024	Download
Comparison	Azure OpenAI vs Microsoft Azure Machine Learning Studio	Dec 21, 2024	Download
Comparison	Azure OpenAI vs Amazon SageMaker	Dec 21, 2024	Download

Title	Rating	Mindshare	Recommending
Microsoft Azure Machine Learning Studio	3.8	12.1%	93%	58 interviews Add to research
Amazon SageMaker	3.9	8.1%	90%	32 interviews Add to research

Valuable Features

Azure OpenAI's most valuable features include high precision in information extraction, accuracy of ChatGPT, and advanced GPT models. It offers a drag-and-drop interface, auto datasets, and seamless integration with enterprise tools. Users benefit from its natural language processing, data generation, and summarization capabilities. The platform provides excellent accessibility, scalability, and security features, along with efficient document interaction and compliance. Prominent features also include image annotation, voice data analysis, and technical problem-solving.

"The most valuable features include analyzing comments and preparing requests for customers, making emails easier and faster."
"Azure OpenAI has significantly reduced costs and increased efficiency in tasks such as aggressive testing of systems to avoid anomalies and trust issues."
"The document intelligence feature has significantly aided in our operations, facilitating the creation of descriptive content."

Room for Improvement

Azure OpenAI requires enhanced language support, improved accuracy, and faster updates for evolving technologies. Security, data management, and pricing transparency pose challenges for customers. Users seek improvements in latency, fine-tuning capabilities, and user-friendliness. They face issues with deterministic responses, repetitive output, and integration flexibility. The desire for video tutorials and enhanced support services is evident, and the need for tailored AI models and scalability remains crucial. Current geographical and operational limitations affect accessibility.

"Sometimes, it gives answers in English, even when the request is in Polish."
"One major drawback of Azure OpenAI is its availability, as it's not consistently accessible for effective use."
"In the next release, they could enhance the product's features for even greater usability and efficiency."

ROI

Azure OpenAI significantly boosts productivity and cost efficiency for companies. It reduces reliance on Stack Overflow, enhances code-writing through GitHub Copilot, and improves call center response times using language models. Organizations report a 30-45% boost in productivity and cost savings in areas like legal processing. Immediate productivity benefits are observed post-implementation, with cost savings visible after six months. Projects that previously took months now take weeks, offering quick prototyping and scalability at a lower cost.

Pricing

"We started with monthly payments, but we plan to switch to yearly billing once we've stabilized our solution."
"I rate the product pricing six out of ten."
"While the product meets our business requirements well, I consider it relatively expensive, especially for individual users like myself."

Popular Use Cases

Azure OpenAI is primarily utilized for tasks such as invoice processing, documentation automation, chatbots, predictive analytics, and knowledge management. Organizations employ it for applications in healthcare image analysis, enterprise solutions specific to industries like HR and finance, task automation in contact centers, code generation, and extracting insights from large text corpora. Users benefit from features like question-answering, transcription services, virtual assistants, and interactive dashboards for data-driven decision-making.

Service and Support

Azure OpenAI customer service is generally praised for being professional and responsive, with some users enjoying a direct connection with support staff. However, experiences vary, with some highlighting slow responses and limited experts available for this new technology. Delays in technical support and lack of a direct ticket system are mentioned, especially for the free version. Users note improvement potential on model side issues, with better support for cloud infrastructure.

Deployment

Azure OpenAI's initial setup is generally easy, scoring around seven to nine out of ten for simplicity. While some users find it straightforward and quick, deploying within hours or days, others experience complexities, especially with roles, region availability, and compliance. Technical teams often manage integration, and approval from Microsoft may be needed. Documentation is clear, yet deployment times can vary from minutes to weeks, with security and region limitations being common concerns.

Scalability

Azure OpenAI appears to be highly scalable for many organizations, though some notice limitations under heavy loads or due to regional capacity constraints. Ratings vary, with many scoring it high for scalability, especially for cloud-based enterprises. While some find it expensive, larger deployments benefit from good scalability and ROI. Scaling requires careful configuration, but generally, Azure OpenAI is considered capable of handling various scaling needs efficiently with ongoing improvements.

Stability

Azure OpenAI is rated highly for stability by most users, frequently receiving scores of eight or nine out of ten. Many users report no issues at all, while some experience occasional downtime or variability during peak times. A few mention the need for improved optimization to enhance consistency. Despite isolated instances of instability, the general consensus is that Azure OpenAI performs well in terms of stability.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Azure OpenAI Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

13%

Manufacturing Company

11%

Educational Organization

Government

University

Healthcare Company

Retailer

Insurance Company

Comms Service Provider

Energy/Utilities Company

Media Company

Non Profit

Construction Company

Real Estate/Law Firm

Hospitality Company

Wholesaler/Distributor

Legal Firm

Performing Arts

Consumer Goods Company

Outsourcing Company

Pharma/Biotech Company

Logistics Company

Recreational Facilities/Services Company

Transportation Company

Compare Azure OpenAI with alternative products

Learn more about Azure OpenAI

Azure OpenAI offers a comprehensive suite of features designed for efficient data processing and task automation. It provides high precision in extracting information and strong conversational capabilities, crucial for developing chatbots and customer support systems. Its integration with Azure ensures seamless data handling and security, addressing key enterprise requirements. Users can employ its versatile GPT models for diverse applications such as predictive analytics, summarizing large documents, and competitive benchmarking. Despite its strengths, it faces challenges like latency, inadequate regional support, and limited integration of new technologies. Improvements in model fine-tuning and more flexible configuration are desired by users.

What features make Azure OpenAI a reliable choice?

High Precision: Ensures accurate data extraction suitable for critical applications.
Conversational Capabilities: Facilitates the creation of sophisticated chatbots.
Azure Integration: Seamlessly connects with Azure services for enhanced functionality.
Automation Support: Automates repetitive tasks, improving efficiency.
Security Features: Offers robust protection for sensitive data.
Drag-and-Drop Environment: Simplifies user interaction and deployment.

What benefits and ROI should users consider?

Natural Language Processing: Provides superior language model performance.
Quick Implementation: Reduces time to deploy applications.
Scalability: Supports growing business needs with ease.
Versatile GPT Models: Applicable across different industry workflows.

Azure OpenAI is implemented across industries like healthcare, finance, and education for tasks like invoice processing, digitalizing records, and language translation. It enhances policy management, document assimilation, and customer support with predictive analytics and keyword extraction. Organizations in such sectors benefit from streamlined workflows and task automation.