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Overview

Product Information on Microsoft AI Platform

Updated 13th October 2025

What is Microsoft AI Platform?

Microsoft AI Platform is a software designed to enable organizations to build, deploy, and manage artificial intelligence solutions at scale. It provides a range of tools and frameworks for machine learning model development, training, and deployment, supporting both code-first and low-code approaches. The software integrates with popular machine learning frameworks and offers infrastructure for data preparation, experimentation, and operationalization of models. Users can access scalable compute resources and utilize automated machine learning features to accelerate the development process. Microsoft AI Platform addresses business challenges related to data analysis, predictive insights, and automation by offering a secure environment for end-to-end AI lifecycle management.

Microsoft AI Platform Pricing

Microsoft AI Platform software uses a consumption-based pricing model, where charges are determined by the amount of computational resources and services utilized, such as the number of training hours, inference requests, or data storage. Various tiers may be available, and billing typically aligns with the specific resources consumed within those tiers.

Overall experience with Microsoft AI Platform

Principle Enterprise Architect
30B + USD, Energy and Utilities
FAVORABLE

“Azure AI - execellent outcomes from scaled adoption and time to value for operationalising”

5.0
Oct 2, 2020
Out of the all the ML / AI / data science platforms we have evaluated in our company (AWS AI, Azure AI, Dataiku, Palantir & Spark Cognition) we have had by far the most success with Azure AI which is due to the low learning curve for Data Scientists onboarding who have been using open source frameworks and platforms previously and the wide spectrum of specialist support from Global Black Belts, Customer Advisory Team and Product Engineering from Microsoft which is a key area of differentiation.
There are no reviews in this category.
CRITICAL

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Peer Discussions

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Microsoft AI Platform

byMicrosoft
in Data and Analytics
4.5

About Company

Company Description

Updated 11th August 2023

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.

Company Details

Updated 25th March 2024
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
https://microsoft.com

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Reviewer Insights for: Microsoft AI Platform

Microsoft AI Platform Likes & Dislikes

Like

Huge spectrum of capability (Cognitive Services, ML Services, Deep RL Bons.AI, AutoML, Data Labelling, advanced model lifecycle management) and pace of innovation.

Like

The ease of use from a data scientist perspective, they can collaborate on the code how much they want and that the underlying infrastructure can scale to their needs automatically

Dislike

Modular cloud service architecture so there is some enablement work required by the customer to get the integrated machine learning platform working seamlessly for data scientists. The flip side of this is the flexibility for the customer to have an implemented that aligns better to the eco-system of data platforms and deployment targets (systems of record, edge etc)

Dislike

There are some hassels to put everything together to work well, many stand alone product that needs some thinking to make them work effectively

Top Microsoft AI Platform Alternatives

Microsoft AI Platform Reviews and Ratings

4.5

(2 Ratings)

Rating Distribution

5 Star
50%
4 Star
50%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.5

Integration & Deployment

4.5

Service & Support

5.0

Product Capabilities

4.5

Filter Reviews
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Most helpful
Last 12 Months
Star Rating
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  • Principle Enterprise Architect
    10B+ USD
    Energy and Utilities
    Review Source

    Azure AI - execellent outcomes from scaled adoption and time to value for operationalising

    5.0
    Oct 2, 2020
    Out of the all the ML / AI / data science platforms we have evaluated in our company (AWS AI, Azure AI, Dataiku, Palantir & Spark Cognition) we have had by far the most success with Azure AI which is due to the low learning curve for Data Scientists onboarding who have been using open source frameworks and platforms previously and the wide spectrum of specialist support from Global Black Belts, Customer Advisory Team and Product Engineering from Microsoft which is a key area of differentiation.
  • Head Of Data Analytics & AI
    1B-10B USD
    Transportation
    Review Source

    Azure ML is a capable platform that can deliver on your ml needs

    4.0
    Oct 2, 2020
    Overall the platform works good and when implements provides a good suite of applications to deliver the overall ML flow from ingestion to creating models, training, validating and deploying to production
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