Published: 29 April 2024
Cloud AI developer services enable developers to build intelligent applications by using AI models out of the box, fine-tuning them or creating custom models. Software engineering leaders should use this research to guide their teams in choosing CAIDS that will deliver the most business value.
Cloud AI developer services (CAIDS) vendors are developing a range of foundational models across language, vision, tabular and AI coding assistant use cases using proprietary, trusted-partner, and open-source models. In addition to significant improvements in natural language understanding (NLU) and natural language generation (NLG), some vendors are advancing with the introduction of multimodal functions, such as speech-to-translation, image-to-chat, and design-to-code.
Another crucial and highly competitive area is providing an orchestration framework for better productionalization across APIs, databases, plugins and documents as well as predictive and generative AI services and models.
Business stakeholders are demanding responsible approaches to the use of
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Analysts:
Mike Fang, Jim Scheibmeir, Arun Batchu
Gartner Critical Capabilities research complements Gartner Magic Quadrant™ analyses by offering deeper insights into products and services provided by multiple vendors in specific markets, focusing on how well each product meets detailed functional requirements rather than on the vendors’ overall market positioning.
For more information, see the FAQ on How Products and Services Are Evaluated in Gartner Critical Capabilities or visit the Gartner Critical Capabilities methodology page.
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