Ollama: Ollama: improve existing draft article

2026-10-07T22:39:38Z

Ollama: improve existing draft article

← Older revision		Revision as of 22:39, 7 October 2026
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			The [[Hype cycle]] is a conceptual model developed by Gartner to illustrate the progression of emerging technologies and innovations through distinct phases of public interest and adoption. It provides a framework for understanding how technologies evolve from initial excitement to eventual mainstream acceptance or decline. The model is widely used in technology forecasting, investment decision-making, and innovation management to help stakeholders navigate the often volatile journey of new technologies.

			{{H2\|Stages of the [[Hype cycle]]}}
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			The [[Hype cycle]] consists of five distinct stages, each reflecting a different phase in the lifecycle of a technology or innovation:
	{{Glossary}}

	{{InfTech}}
			1. Technology Trigger: This stage marks the initial discovery or invention of a new technology. Early proof-of-concept demonstrations and media coverage generate interest, though practical applications remain limited.
			2. Peak of Inflated Expectations: Here, excessive optimism and media hype lead to overestimation of the technology’s capabilities. Investments surge, but realistic applications are often unmet.
			3. Trough of Disillusionment: As initial enthusiasm wanes and practical challenges emerge, interest declines. Many projects fail or are abandoned, leading to skepticism about the technology’s potential.
			4. Slope of Enlightenment: During this phase, practical applications and benefits become clearer. Organizations begin to understand how to effectively implement the technology, leading to incremental progress.
			5. Plateau of Productivity: The technology achieves mainstream adoption, with its benefits becoming well understood and integrated into business processes or daily life.

			{{H2\|Applications and Significance}}
			The [[Hype cycle]] is particularly relevant in fields such as information technology, healthcare, and business innovation. It helps organizations avoid investing in unproven technologies during the early hype phase and instead focus on those that have demonstrated long-term value. For example, technologies like cloud computing and artificial intelligence have traversed the [[Hype cycle]], with their trajectories illustrating both the risks of premature adoption and the rewards of strategic patience.

			{{H2\|Criticisms and Limitations}}
			While the [[Hype cycle]] remains a popular tool, it has faced criticism for oversimplifying complex innovation processes and underrepresenting technologies that achieve rapid mainstream adoption without following the full five-stage trajectory. Critics also note that the model may not account for cultural, economic, or regulatory factors that influence a technology’s adoption path. Despite these limitations, the framework continues to be a valuable reference for analyzing technological trends.

			{{H2\|References}}
			- [Gartner's official [[Hype cycle]] page](https://www.gartner.com) – Gartner, the original developer of the [[Hype cycle]] model, provides detailed analyses of current and historical technology trends.
			- [TechRadar article on the [[Hype cycle]]](https://www.techradar.com) – An overview of how the [[Hype cycle]] applies to consumer technologies.
			- [Harvard Business Review on innovation cycles](https://hbr.org) – Discusses the broader implications of the [[Hype cycle]] for business strategy.

			[[Category:Glossary]]
			[[Category:InfTech]]

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			{{Pending Human Review}}

Robert Brockway at 00:16, 17 July 2024

2024-07-17T00:16:47Z

← Older revision		Revision as of 00:16, 17 July 2024
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	{{Glossary}}		{{Glossary}}
	{{IT}}		{{InfTech}}

Robert Brockway: Created page with " {{Glossary}} {{IT}}"

2024-07-17T00:16:37Z

Created page with " {{Glossary}} {{IT}}"

New page

Hype cycle - Revision history

Ollama: Ollama: improve existing draft article

Robert Brockway at 00:16, 17 July 2024

Robert Brockway: Created page with " {{Glossary}} {{IT}}"