Published: 23 May 2022
Cloud-hosted AI developer services allow developers to enhance applications in the areas of language, vision and automated machine learning. Software engineering leaders should use this analysis to choose the cloud AI developer services that will deliver the most business value.
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Vendors are developing massive language models that can deliver an expanded range of language services. Major cloud vendors are gaining an advantage by using their immense computing infrastructure to develop proprietary language models. Smaller vendors are leveraging open-source software, data and machine learning (ML) models to compete.
Nearly every cloud-hosted AI developer services (CAIDS) vendor has improved its image and video understanding capabilities, with nine of the 13 vendors receiving a score of 3 or higher for the vision services use case.
Smaller vendors continue to lead innovation of automatic machine learning (AutoML) capabilities, but large vendors are catching up.
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Strategic Planning Assumptions
- Alibaba Cloud
- Amazon Web Services
- Speech to Text
- Language Understanding/Processing
- Natural Language Generation/TTS
- Sentiment Analysis
- Text Analytics
- Image Recognition/Labeling
- Image Generation
- Video Content Analysis
- ML Enabled OCR
- Automated Data Preparation
- Auto Bias Detection/Compensation
- Feature Engineering
- Automated Model Building
- Model Management/Operationalization
Gartner Recommended Reading
Critical Capabilities Methodology