Cloud AI Services Slide Back to Rock Bottom in Gartner 'Hype Cycle'
"On the Slope of Enlightenment are AI technologies that have many years of innovation behind them and are getting nearer to mainstream adoption," Gartner said. "Usage of autonomous vehicles has increased in some locations, despite severe skepticism in certain quarters, the imposition of restrictions and the withdrawal of some operating licenses. Intelligent applications, now powered by GenAI, have entered the workforce, but more time is needed to objectively quantify their impact on productivity."
The research firm's recommendations for organizations eyeing more involvement with cloud AI include:
- Choose customizable cloud AI services over bespoke models to address a range of use cases and for quicker deployment and scalability.
- Improve chances of success of your AI strategy by experimenting with AI techniques, including the use of generative AI models such as LLMs and multimodal models and other cloud services. Ensure that generative AI models are loosely coupled as the technology continues to evolve rapidly.
- Use cloud AI services to build less complex models, giving the benefit of more productive AI while freeing up your data science assets for higher-priority projects.
- Empower non-data-scientists with features such as automated algorithm selection, dataset preparation and feature engineering for project elements. Leverage existing expertise on operating cloud services to assist technical professional teams.
- Utilize pretrained generative AI models to allow for rapid prototyping and deployment of LLM-enabled solutions.
- Develop cost modeling tools that allow the enterprise to effectively predict both usage and management costs as AI models are broadly deployed in applications across the business.
The full report is available to Gartner clients here.
About the Author
David Ramel is an editor and writer at Converge 360.