Practical AI Hyperventilating over the Gartner AI Hype Cycle
Jul 24, 2024
Demetrios Brinkmann, a member of the MLOps Community and a frequent voice in AI discussions, joins Daniel and Chris for a lively chat about the 2024 Gartner Hype Cycle. They humorously dissect the hype surrounding various AI technologies, like cloud AI services and generative AI. The trio highlights the absence of ethical considerations in the cycle and debates the practical limitations of small models in consumer devices. With engaging insights, they question the future of sustainable AI and the role of community in navigating these innovations.
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Cloud AI Paradox
- Cloud AI services are at the bottom of the Gartner Hype Cycle, in the trough of disillusionment.
- This is surprising, as cloud providers make significant money from these services.
AI Engineer Hype
- The term "AI Engineer" is at the peak of the Gartner Hype Cycle, indicating inflated expectations.
- The meaning of "AI Engineer" can be unclear, encompassing people with vastly different skill sets.
AI in Support Software
- Demetrios Brinkmann notes a friend successfully leveraged AI in their support software product.
- However, he hasn't seen similar success with traditional ML service products like fraud detection.