Gartner based its forecast on the so-called Smart Spaces. "Smart spaces are built on the idea of being people-centric. A smart space is a physical environment in which people and technology-driven systems interact in increasingly open, connected, coordinated and intelligent ecosystems," said David Cearley, vice president and Gartner Fellow. Diverse elements - such as people, processes, services and things - would come together in a smart space and create a "more immersive, interactive and automated experience".
"When we put people at the center of technology strategy, one of the most important aspects of technology is highlighted - how it affects customers, employees, business partners, society, or other key groups. All of the organization's actions directly or indirectly affect these people and groups. It's a people-centered approach, "says Cearley.
The top 10 strategic technology trends for 2020
This is a combination of multiple machine learning, software packages and automation tools for work processes. Hyper-automation refers not only to the scope of the range of tools, but also to all individual automation steps (discover, analyze, design, automate, measure, map and recheck). Understanding the range of automation mechanisms - how they relate to one another, how they can be combined and coordinated - is a major focus of hyper-automation. This trend was triggered by robotic process automation (RPA). Hyper-automation requires a combination of tools that help replicate human input in a task.
By 2028, the user experience will experience a significant change in how users perceive and interact with the digital world: Social platforms define the way people interact with the digital world to interact
. Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR), on the other hand, are changing the way people enter the digital world perceive
. The future multisensory and multimodal experience emerges from the combination of both changes. "The model will shift from technology-educated people to human-educated technologies. The burden of translating intentions will shift from the user to the computer," said Brian Burke, vice president of research at Gartner.
Democratization of expertise
Democratization is geared towards giving people access to technical expertise (such as machine learning and application development) or business area expertise (such as the sales process and economic analysis) - through a radically simplified experience and without the need for extensive or expensive training. Gartner predicts that four key aspects of the democratization trend will accelerate by 2023: the democratization of data and analytics, the democratization of development, the democratization of design, and the democratization of knowledge.
This field examines how technology can be used to unlock cognitive and physical improvements as an integral part of the human experience. Physical improvement develops people further by changing their natural physical abilities by implanting or wearing a tech device in or on the body. Cognitive enhancement can be achieved by accessing information and exploiting applications for traditional computer systems by transferring the resulting multi-experience connection into smart spaces. Over the next decade, increased levels of physical and cognitive enhancement will be prevalent in humans as individuals continue to seek personal expansion, predicts Gartner.
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Gartner Hype Cycle 2019
How the blockchain is changing the economy
In five to ten years, blockchain technology will develop its full potential and revolutionize the business world - according to a study by the research and consulting company Gartner. Technology is said to have a major impact on the finance, gaming and retail sectors in particular.
Transparency and traceability
Consumers are increasingly aware that their personal information is valuable and require control. Organizations recognize the increasing risk of securing and managing personal data as governments put in place tough legislation to ensure that organizations handle data responsibly. Transparency and traceability are key elements that support digital ethics and the need for privacy. They relate to a range of attitudes, actions and supporting technologies and practices, all designed to meet regulatory requirements, to maintain an ethical approach to artificial intelligence and other future technologies and to absorb the growing loss of trust in companies.
Edge computing is an EDP structure in which information processing and content collection and playback are brought closer to the sources, stores and consumers of the information. The system tries to keep the data flow and data processing in one place in order to reduce waiting times, exploit the possibilities of the edge process and guarantee greater autonomy. Burke says: "Edge computing will become a dominant factor in virtually all industries and application areas." In his opinion, complex edge devices such as robots, drones, autonomous vehicles and operating systems will accelerate this development.
This means the distribution of public cloud services to different locations, while the original provider of the public cloud takes responsibility for implementation and control as well as for updates and development of services. This represents a significant shift away from the centralized model of most public cloud services and will usher in a new era of cloud computing, according to Gartner.
This refers to devices that use artificial intelligence to automate functions that were previously performed by humans. The most recognizable forms of autonomous things are robots, drones, autonomous vehicles, and devices. Their automation goes beyond rigid programming models and they use AI to unleash advanced behaviors that naturally interact with their surroundings and with people. As the possibilities of technology improve and also thanks to regulation and increasing social acceptance, autonomous things will increasingly be used in uncontrolled public places, so the Gartner forecast.
Blockchain has the potential to reshape industries by generating trust, providing transparency and enabling the exchange of values through corporate ecosystems. This has the potential to lower costs, reduce the time it takes to settle transactions, and improve cash flow. Goods can be traced back to their origin, which significantly reduces the possibilities for substitution with counterfeit goods. The tracking of goods is also valuable in other areas, such as food, the production chain of which can be traced more easily, for example to identify the source of a contamination or to track individual parts in the course of product recalls. Blockchain also has potential in identity management. Smart contracts can be programmed into a blockchain, where certain events cause certain actions. For example, a payment is released when goods have been received.
The security of artificial intelligence
AI and Meachine Learning will progressively be used to improve human decisions in a wide variety of application areas. While this creates great opportunities to enable hyper-automation and leverage autonomous things, progress will create significant new challenges for security teams and risk leaders - with a massive increase in potential Internet of Things (IoT) attack points, for cloud EDP systems as well as for microservices and complex networked systems in smart spaces. Gartner believes that security and risk leaders should focus on three core areas: protecting AI-powered systems, using AI to protect defense mechanisms, and anticipating the misuse of AI by attackers.hmb