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Gartner identifies the four technology trends we will follow in the near future: autonomous AI, developer productivity, total experiences, and human-centered security. The Hype cycle for new technologies
Gartner identifies the four technology trends we will follow in the near future: autonomous AI, developer productivity, total experiences, and human-centered security.
The Hype cycle for new technologies by Gartner has gradually become a household name in the IT and technology world. In this annual report, Gartner predicts which technologies we will be hearing a lot about in the near future and which technologies are starting to sound stale. Both technologies that will have a big impact now or in two years and innovations that we will only notice in ten years are addressed in the report.
According to Gartner’s theory, every new technology trend goes through more or less the same adoption cycle, although not all at the same pace. The first phase is the “innovation trigger.” In this phase, a technology is still new and hot, and companies are starting to discover it for the first time. Then comes the “peak of inflated expectations”: Now a technology is at the height of hype, and every company wants to show that it is on the cutting edge.
The hype does not last forever and at some point, according to Gartner, the “nadir of disillusionment” inevitably follows. In this phase, interest in a technology begins to decline because the high expectations were not met or were not met sufficiently. Many technology hypes never get out of this phase.
After the low point comes the “slope of enlightenment” when interest in the technology revives. This phase continues until the fifth and final phase, the “productivity ceiling”, is reached. Only in this phase is a technology mature and proves its value in real user applications without many exciting developments taking place.
Gartner has announced its hype cycle for this year. Although Gartner’s predictions are of course not always correct, the report does provide a good indication of which trends are currently crucial in the IT industry and which technologies are emerging.
In addition, many companies are guided by the views of analysts, which makes the forecasts a kind of one-size-fits-all solution self-fulfilling prophecy Gartner distinguishes four categories that are in the “innovation trigger” phase.
Although Gartner classifies the generative type as bordering on deceptive, analysts still see many exciting developments within AI. The rapid developments in this field mean that machines that “operate with minimal human supervision” no longer sound so futuristic. Autonomous AI systems improve themselves and make effective decisions in complex environments. Examples include autonomous multi-agent systems and humanoid robots.
This area is also closely related to developments in artificial intelligence. You have no doubt heard a lot about how AI will help developers. At the moment, it is mainly the developer who has to write and review the code. For Gartner, productivity goes beyond writing code quickly, but also includes effective communication and collaboration.
New technologies enabling developer productivity include AI-powered software engineering, cloud native, GitOps, internal developer portals, prompt engineering, and WebAssembly. According to Gartner, adoption of cloud native development is now at its most advanced stage.
Gartner defines the term “Total Experience” as “a strategy that creates superior shared experiences by intertwining customer experiences, employee experiences, multi-experiences and user experiences.” Technology must serve both the customer and the employee to increase trust, satisfaction and loyalty to the company.
In this (rather vague) category, Gartner includes a diverse mix of technologies, from digital twins to super apps to 6G. The rollout of 6G will not begin for at least ten years, Gartner predicts.
What we find most interesting here is the mention of spatial computing. Everything related to VR, AR, mixed reality, etc. has gone through the hype cycle over the past few decades. The metaverse is currently, one might say, deep in the hole of disillusionment.
According to Gartner, spatial computing is only at the beginning of the innovation cycle in 2024. Gartner seems to believe that new momentum has been generated, among other things, by the Apple Vision Pro. Time will tell whether this prediction is correct.
A fourth category focuses on security. Gartner believes that a culture of mutual trust and awareness of shared risks is the recipe for a resilient organization. For those who follow the industry closely, this will not sound like a new, revolutionary vision of IT security.
Gartner sees some new technologies that will better put the human-centered vision into practice. The new acronym that security teams need to remember, according to Gartner, is AI TRiSM: AI trust, security and risk management. Disinformation is also increasingly becoming a focus of security. The idea is to develop a “digital immune system” that combines technology and practices to proactively detect and combat threats.
Source: IT Daily
As an experienced journalist and author, Mary has been reporting on the latest news and trends for over 5 years. With a passion for uncovering the stories behind the headlines, Mary has earned a reputation as a trusted voice in the world of journalism. Her writing style is insightful, engaging and thought-provoking, as she takes a deep dive into the most pressing issues of our time.
