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2. Gartner hype cycle - Wikipedia

   en.wikipedia.org/wiki/Gartner_hype_cycle

   t. e. The Gartner hype cycle is a graphical presentation developed, used and branded by the American research, advisory and information technology firm Gartner to represent the maturity, adoption, and social application of specific technologies. The hype cycle claims to provide a graphical and conceptual presentation of the maturity of emerging ...

3. Generative AI is getting kicked off its pedestal - AOL

   www.aol.com/finance/generative-ai-getting-kicked...

   It’s been two years since the phrase “generative AI” began cluttering my email inbox. It wasn’t a new term (it appeared in one of Gartner's famous hype cycle reports back in 2020) but as ...

4. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Generative artificial intelligence (AI) will become one of the most important features for creative designers and marketers. Adobe on Tuesday unveiled a Generative Fill feature in Photoshop to bring Firefly's AI capabilities into design. ^ Michael Nuñez (July 19, 2023).

5. Causal AI - Wikipedia

   en.wikipedia.org/wiki/Causal_AI

   Causal AI is a technique in artificial intelligence that builds a causal model and can thereby make inferences using causality rather than just correlation. One practical use for causal AI is for organisations to explain decision-making and the causes for a decision. [1][2] Systems based on causal AI, by identifying the underlying web of ...

6. Qualcomm CEO: Generative AI in smartphones could 'create a ...

   www.aol.com/finance/qualcomm-ceo-generative-ai...

   The integration of generative AI in smartphones is expected to spur “a new upgrade cycle” in 2024 after years of sluggish sales, according to Qualcomm CEO Cristiano Amon.Speaking at CES 2024 ...

7. DataOps - Wikipedia

   en.wikipedia.org/wiki/Dataops

   DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]