Overview
Product Information on Microsoft AI Platform
What is Microsoft AI Platform?
Microsoft AI Platform Pricing
Overall experience with Microsoft AI Platform
“Azure AI - execellent outcomes from scaled adoption and time to value for operationalising”
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Company Description
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.
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Reviewer Insights for: Microsoft AI Platform
Microsoft AI Platform Likes & Dislikes
Huge spectrum of capability (Cognitive Services, ML Services, Deep RL Bons.AI, AutoML, Data Labelling, advanced model lifecycle management) and pace of innovation.
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
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)
There are some hassels to put everything together to work well, many stand alone product that needs some thinking to make them work effectively
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Peer Discussions
Microsoft AI Platform Reviews and Ratings
- Principle Enterprise Architect10B+ USDEnergy and UtilitiesReview Source
Azure AI - execellent outcomes from scaled adoption and time to value for operationalising
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 & AI1B-10B USDTransportationReview Source
Azure ML is a capable platform that can deliver on your ml needs
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