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Generative AI in the Hype Cycle for Emerging Technologies – Appealing to the Enterprise!

by Svetlana Sicular  |  September 11, 2020  |  Submit a Comment

The Hype Cycle for Emerging Technologies is the most popular Gartner hype cycle. Read and listen about the trends in this hype cycle in just published 5 Emerging Technologies Explained by Gartner Experts.  The emerging trends are sure exciting for me as the author of the Hype Cycle for Artificial Intelligence, because the emerging technologies include four out five new AI entries: Small Data, Composite AI, Generative AI and Responsible AI. They also include new profiles from the Hype Cycle for Data Science and Machine Learning: Differential Privacy, Generative Adversarial Networks, Adaptive ML and Self-Supervised Learning.

Emerging AI technologies might seem like something outlandish, but enterprises are already embracing them – and this is the main reason for us to include new profiles in the hype cycles. Let’s look at Generative AI that draws the most attention of Gartner clients.

AI methods that directly extract numeric or categorical insights from data are relatively widespread. Generative AI, which creates original artifacts or reconstructed content and data, is the next frontier.

I have already seen generative AI applications in retail, healthcare, life sciences, telecommunications, media, education, engineering and HR. For example, in healthcare, generative AI creates medical images that depict the future development of a disease. In consumer goods, it generates catalogs. In e-commerce, it helps customers to “try-on” various makeups and outfits.  Christie’s auction house already sells AI-generated artwork. Pharmaceutical companies are aggressively working on generating new compounds and molecules. I cannot give an example of a specific client due to confidentiality of our interactions, but here is the picture from IBM related to the controlled generation of molecules.

AI-generated molecule similar to existing drug

Source: IBM

Generative AI helps creative people – designers, artists and musicians. For example, Jacobs Engineering uses generative design for producing a space suit.

Data creation, often known as synthetic data, helps mitigate data scarcity or privacy barriers to insight. Generative techniques create new data instances, so the generated data repeats patterns of the actual data, but is completely made up. For example, text generation for chatbots, image generation for quality analysis in manufacturing, differential privacy. Visma generated for the Norwegian Labour and Welfare Administration the entire population of Norway preserving demographic nuances.

All five trends in the Hype Cycle for Emerging Technologies are fascinating for me as a reader: Let’s take DNA storage for example – Netflix just announced that it stores the first episode of Biohackers in a little bottle. So, listen and read 5 Emerging Technologies Explained by Gartner Experts – this will be time well spent!

Netflix just announced that it stores the first episode of Biohackers in DNA storage

Source: Netflix and Twist Bioscience


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Category: ai  ai-in-the-enterprise  generative-ai  hype-cycle  

Tags: ai  ai-in-the-enterprise  bert  gans  gpt-3  vaes  

Svetlana Sicular
Research VP
6 years at Gartner
23 years IT industry

Svetlana Sicular is passionate about bringing analytics to domain experts and helping organizations successfully compete by applying their business acumen in analytics and data science. She is convinced that domain expertise and high-value data are the greatest assets that companies should monetize in new analytics applications. Read Full Bio

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