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Hype Cycle for Emerging Technologies

The Hype Cycle for emerging technologies represents the “must-know” emerging technologies and trends and the different stages in which they could evolve. Most of these technologies are in early stage and they have the potential to deliver competitive advantage in the next 10 years.

Expanding Immersive Experiences, Accelerating AI Automation and Optimizing Technologist Delivery are the three themes of emerging technologies, according to Gartner.

The technologies and trends mentioned in the graphic, by Gartner, have potential to deliver a high degree of competitive advantage over the next 2 to 10 years.

Melissa Davis, VP analyst at Gartner, says that “emerging technologies offer transformational potential for businesses, but CIOs and technology innovation leaders are challenged to scale digital capabilities while improving sustainability in the face of expanding resource constraints”.

The 25 technologies mentioned in the graphic are enabling the evolution and expansion of the three themes of Emerging Technology Trends:

1) Evolving and Expanding Immesive Experiences:

A collection of emerging technologies supports immersive experiences through dynamic virtual representations, environments and ecosystems of customers and people, as well as new modes of user engagement. Some of these technologies are metaverse, non-fungible tokens (NFTs), super apps and Web3.

2) Accelerated AI Automation:

AI adoption is expanding as an integral part of products, services and solutions. This is accelerating the creation of specialized AI models that can be applied to automate model development, training and deployment. These technologies are autonomic systems, causal AI, foundation models, generative design AI and machine learning code generation.

3) Optimized Technologist Delivery:

A set of emerging technologies focuses on the product, service and solution builder communities. These technologies provide feedback and insight that optimize and accelerate product, service and solution delivery and increase sustainability of business operations. Some examples are augmented FinOps, cloud data ecosystems, cloud sustainability, computational storage, cybersecurity mesh architecture, data observability, dynamic risk governance, and industry cloud platforms.

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