The Digital Twin of the Customer (DToC) is a dynamic virtual client model that simulates, learns to simulate and predict behavior. The model can be used to change and improve the customer experience (CX) and provide support for new efforts to digitalize products, services, and new features.
A decentralized identifiable person (DCI) allows a subject (typically, a human user) to manage their own digital property using technologies such as blockchain or other distributed ledger technologies (DLT) and digital wallets.
Digital people are interactive, manageable AI images that have some of the characteristics, personality, knowledge, and thinking of a person.
Internal talent markets compare internal employees and, in some cases, a pool of employees with time-limited projects and various job opportunities without the involvement of a recruiter.
The meta-universe is a collective virtual common three-dimensional space formed by a combination of virtual augmented physical and digital reality. The metavirtual universe is permanent, providing an enhanced immersive experience.
NFT is a unique blockchain-based programmable digital unit that explicitly certifies ownership of digital assets, such as digital art or music, or physical assets that are tokenized, such as homes, cars, or documents.
A super application is a composite mobile application created as a platform for providing modular micro-applications that users can activate for personal interaction with the application.
Web3 is a technology platform for creating decentralized web applications that allow the user to control their personal information and other interaction data.
Autonomous systems are self-managed physical or software systems that perform tasks limited to a specific area and demonstrate three fundamental characteristics: autonomy, learning, and autonomy. When traditional AI technologies fail to provide business adaptability, flexibility, and agility, stand-alone systems can successfully help implement them.
Cause-and-effect artificial intelligence identifies and uses cause-and-effect relationships, which allows you to go beyond correlation prediction models and move to AI systems that can prescribe actions more effectively and act more autonomously.
Basic models are transformer-based models, such as large-scale linguistic models, embodying the type of architecture of a deep neural network that computes the digital reproduction of the text in the context of nearby words, focusing on their sequence.
Generative AI or AI-augmented design is the use of AI, machine learning (ML), and natural language processing (NLP) technologies to automatically generate and develop custom routes, screen design, content, and presentation layer code for digital products.
Machine learning code generation tools include ML cloud models that connect to professional IDEs (integrated developer environments) and are extensions that offer the code based on natural language descriptions or partial code snippets.
Cloud data ecosystems provide a holistic data management infrastructure capable of supporting the full range of workloads, from research data processing to operational data storage. Cloud data ecosystems provide optimal delivery and comprehensive functionality that is easy to deploy, optimize, and maintain.
Augmented FinOps provides automation of traditional DevOps concepts, such as flexibility, continuous integration and deployment, and end-user feedback, for financial management, budgeting, and cost rationalization through artificial intelligence and machine learning techniques.
Cloud resilience is the application of cloud services to achieve sustainable development in economic, environmental, and social systems.
The computing store (CS) transfers host data processing from the main memory of the central processing unit to the storage devices.
The Cybersecurity Mesh Architecture (CSMA) is a state-of-the-art approach to creating composite distributed security controls that enhance the effectiveness of security systems as a whole.
Data Observability is the ability to monitor the state of an organization's data landscape, data conveyors, and data infrastructures by continuously monitoring, tracking, analyzing, and eliminating unacceptable incidents.
Dynamic Risk Governance (DRG) is a new approach to the critical task of defining roles and responsibilities for risk management. DRG adjusts risk management to each risk, allowing organizations to better manage risks and reduce the cost of ensuring their reliability.
Industry cloud platforms use the underlying SaaS cloud services (“software as a service”), “platform as a service” (PaaS), and “infrastructure as a service” (IaaS) to offer industry-appropriate business and technical solutions for a particular industry as a whole product offering.
Minimum Viable Architecture (MVA) is a standardized framework used by product development teams to ensure timely and compliant product development and iteration.
Observability-Driven Development (ODD) is a software development practice that provides detailed visibility and context of the state and behavior of a system by designing systems so that their processes can be observed.
OpenTelemetry is a set of technical requirements, tools, application programming interfaces (APIs), and software development kits (SDKs) that describes and provides support for the implementation of open source tools and surveillance structures for software.
Platform engineering is the discipline of creating and operating internal developer platforms (IDPs) with a self-management function for software development and software lifecycle management.
Gartner plans to present an additional analysis of new technologies at its Gartner IT Symposium/Xpo 2022, one of the world's leading conferences for IT professionals and directors of IT departments.
