Gartner: 25 emerging technologies to focus on in the coming period
“Metaverse” is at the forefront of emerging technologies trends in the coming period.
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Gartner highlighted 25 emerging technologies that help enhance the immersive interactive user experience, accelerate the automation and improvement of artificial intelligence, and improve the delivery and delivery of technical services.
These technologies and trends have the potential to add high degrees of competitive advantage over a period of two to 10 years.
These technologies were:
Metaverse, Non-fungible Tokens (NFT), Super Applications, Web 3.0, Decentralized Identity Technologies, Human Digitization, Customer Digital Twinning, Internal Human Talent Markets, Automated Systems, AI for Offline Uses, Core Prototyping, AI for Design Producer, Machine Learning Code Generation, FinOps, Cloud Data Systems, Sustainable Cloud Computing, Computing Storage, Cyber Security Network Engineering, Data Monitoring Technologies, Dynamic Risk Governance, Industrial Cloud Computing Platforms, Brief Process Designs censorship-driven development, remote data collection and analysis tools (OpenTelemetry), and platform architecture.
The report identified three axes of emerging technology trends, the first of which is: technologies to enhance the immersive interactive user experience, where a group of emerging technologies will support these experiences, through presentations, operating environments, and dynamic virtual systems for customers and people, as well as supporting new patterns of use.
Through these technologies, individuals can control their digital personalities, their data, and experience virtual ecosystems that can be combined with cryptocurrencies.
These technologies can help reach customers in new ways that create new sources of revenue.
The portfolio of technologies to watch for their immersive interactive experience includes metaverses, non-fungible tokens (NFTs), super applications and Web 3.0, decentralized identity technologies, human digitization, digital twinning for clients, and internal human talent markets.
While the second axis focuses on technologies for accelerating artificial intelligence automation, as the demand for artificial intelligence is witnessing a remarkable expansion as an essential part of products, services, and solutions.
This in turn is driving the rapid creation of specialized AI models that can be applied to automate model development, training and implementation.
The automation of artificial intelligence also refocuses on the importance of the human role in the development of artificial intelligence, which results in more accurate decisions and expectations, and thus achieve the desired benefits within a shorter period.
The list of technologies that help accelerate AI automation include: automated systems, AI for informal uses, basic models, AI for productive designs, and machine learning code generation.
The third axis deals with techniques for improving technical delivery, as successful digital businesses are those that are created.
A range of emerging technologies focus on the product, service, and solution development communities, such as fusion teams, and the platforms they use.
These technologies collect feedback and insights that can help improve and accelerate the delivery of products, services, and solutions, as well as enhance the sustainability of business operations.