Gartner ThinkCast
The AI Hype Cycle 2023: Cloud AI Services Approach the Plateau of Productivity
Sep 19, 2023
In this episode, Jim Scheibmeir discusses the potential of low-code cloud AI services to transform industries. Afraz Jaffri then shares Gartner's expectations for future AI technologies. The podcast explores responsible AI, the critical mass of AI usage, and reaching the plateau of productivity. It concludes with predictions for the future of AI and a call to action for listeners.
19:46
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Quick takeaways
- Cloud AI systems are providing organizations with scalable and affordable AI solutions, transforming industries from manufacturing to finance.
- Cloud AI services are expected to evolve with a focus on industry-specific capabilities, responsible AI practices, and expanded generative AI capabilities.
Deep dives
Cloud AI Systems on the Slope of Enlightenment
Cloud AI systems, such as cloud-based machine learning and artificial intelligence services, are on the slope of enlightenment in the hype cycle. While generative AI is still in the peak of inflated expectations, cloud AI systems are already providing organizations with scalable and affordable AI solutions. These services offer capabilities like computer vision for detecting flaws in consumer products and language services for translating and understanding sentiment in social media posts. Industries such as manufacturing, banking, and insurance are using cloud AI systems for tasks like quality control, fraud detection, and claims processing.
