Who provides the best AI cloud services for developers?
Gartner released a new Magic Quadrant—a ranking system for technologies—highlighting the best cloud providers for artificial intelligence developer services.
It's a growing opportunity: Gartner estimates that "by 2023, 40 percent of development teams will be using automated machine learning services to build models that add AI capabilities to their applications, up from less than 2 percent in 2019."
AWS leads by a small margin. Gartner praised AWS for its wide range of services—including Sagemaker and AutoPilot, which can automatically generate machine learning models. Gartner docked points from AWS for its sometimes confusing portfolio of tools. Research also showed that the cost of execution can vary between development and production environments, making it difficult for developers to model true costs.
Google falls behind AWS. Researchers commended Google’s strong language services and machine learning model inspection capabilities. The report, however, penalized Google for the lack of maturity in its cloud platform, which is still rapidly changing.
Microsoft competes with Google. Microsoft’s AI developer services were easily deployed to different environments, including Azure and on-premises. Microsoft, however, lacked a clear strategy, forcing developers to navigate across different brands and businesses—like Cortana and Azure—to discover what tools were needed.
The rest of the pack is thin: Other companies analyzed in the research report include H20.ai, Prevision.io, Salesforce, and Tencent. Gartner did not consider any of these platforms to be leaders.
For developers looking to tap into AI cloud services, the biggest tech companies—Amazon, Google, and Microsoft—hold a commanding lead over the rest of the ecosystem that is difficult to ignore—and is likely to continue growing.
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