- Compared to the technologies on Gartner’s prior 2021 Hype Cycle, the new technologies diverge quite sharply.
- According to Gartner, the future of digital experiences will involve ever-more immersive encounters due to the trend toward changing and expanding immersive experiences.
Gartner, an analyst firm, announced the release of a revised version of Hype Cycle for Emerging Technologies that focuses on three important trends: The development and growth of immersive experiences, the acceleration of Artificial Intelligence (AI) automation, and what it refers to as optimal technological delivery.
Compared to the technologies on Gartner’s prior 2021 Hype Cycle, the new technologies differ sharply. According to the analysts who created the list, these hype cycles for developing technologies are dynamic in nature. Because of this, many of the technologies identified by it feature only for a year or two at most; post this, they make way for new developments.
However, Gartner asserted that over the following two to 10 years, early adopters of these technologies might significantly benefit from the technology discussed in the hype cycle.
“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,” said Gartner VP Analyst Melissa Davis. “It is essential that organizations cut through the noise surrounding emerging technologies to accelerate change by leveraging innovations that drive competitive differentiation and efficiency.”
Hype cycle for emerging technologies
Talking about the trend toward changing and expanding immersive experiences, Gartner said that the future of digital experiences would become even more immersive. It will be aided by a group of cutting-edge technologies that allow more dynamic virtual representations of environments and ecosystems of people, surroundings, and consumer ecosystems, as well as new forms of engagement.
The metaverse, nonfungible tokens, super applications, Web3, decentralized identification, digital humans, digital twins of customers, and internal talent marketplaces are some emerging technologies primarily centered on innovations that stem from blockchain and cryptocurrency advancements.
According to Gartner, these technologies provide people control over their identities and data and the ability to interact with virtual ecosystems that work with digital currencies. It said they might also reinforce existing revenue streams or create new ones for businesses.
According to Gartner, accelerated AI automation refers to the expansion of AI as integral to both new and existing products, services, and solutions. This trend is creating a brand-new breed of specialized AI models that can be used to automate model development, training, and deployment. This enables the role of humans to be refocused, leading to AI that has a quicker time to benefit and more accurate forecasts and choices.
Some of the technologies that support this trend are autonomous systems, causal AI, foundation models, generative design AI, and machine learning code generation.
Regarding optimum technological delivery, this relates to the process through which prosperous digital firms are created rather than acquired. A group of emerging technologies focused on communities of people who create products, services, and solutions, as well as the platforms they utilize, have been recognized by Gartner.
Results are yet to be seen
Gartner analyzed over 2,000 new technologies and application frameworks over the previous year to create the 2022 Hype Cycle. The analyst company notes a great deal of ambiguity around how each of them will develop because they are all still in the very early stages of their lifecycles. In other words, they may offer benefits but also include some risks
According to Gary Oliffe, Distinguished VP Analyst at Gartner, “Such technologies present more risks for implementation, but possibly bigger rewards for early adopters who can appraise and utilize them in line with their organization’s capabilities to manage unproven technology.”
In addition to augmented FinOps, cloud data ecosystems, cloud sustainability, computational storage, cybersecurity mesh architecture, data observability, dynamic risk governance, industry cloud platforms, minimum viable architecture, observability-driven development, OpenTelemetry, and platform engineering are included in the lengthy list. These technologies enable gathering feedback and insights to optimize and speed up the supply of products, services, and solutions while also increasing the sustainability of corporate operations.