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Empowerment
- refers to the process of allowing or giving yourself/other people the capacity to execute a task.
Technology
- refers to the computer technology used in the day to day life of a person.
This combined defines the
capability to do tasks
without asking for
professional help in
relation with technology.
Based on studies conducted around the world, it was pointed out the importance of ICT for sustainable development. Significant changes have been observed in four major aspects of life: communication, economics, education and travel.
The internet has provided a lot of services that users have enjoyed since its creation, one of which is the World Wide Web. But did you know that it is also evolved into something which provides users a wide range of services? Look at how the web evolved.
Gartner defines a strategic technology trend as one with substantial disruptive potential that is beginning to break out of an emerging state into broader impact and use, or which is rapidly growing with a high degree of volatility reaching tipping points over the next five years.
Technology which are centered for human development and usage
Hyper-automatization proposes is an automation of processes with software tools such as BPM and RPA, accompanied by Machine Learning to optimize time, decision-making and the discovery of new activities to be automated.
Multi-experience also refers to the inclusion of new sensory experiences (visual, audible, tactile, etc.) such as those offered by VR (Virtual Reality), AR (Augmented Reality) and MR (Mixed Reality).
This trend is to create simplified models so that all users can enjoy the latest technological experiences, not only as users, but also as application developers, data analysts, etc. Low-Code, No-Code, and advances in Artificial Intelligence play an important role in this field.
This entails using technology to increase human capabilities, whether it be hardware or software. It seeks to enhance vision, hearing, calculation, analysis, decision-making, or many other capabilities. These advances are mainly aimed at facilitating human work.
Privacy and digital ethics continue to gain momentum in digitalization as people are increasingly aware of the importance of their data. Organizations that provide technology services must take special care to protect this data and user privacy, especially in environments that begin to use Machine Learning algorithms.
Technology which are centered with maximizing data space while utilizing it at the same time
Edge Computing describes a computer topology in which information processing and content collection and delivery are placed closer to those who consume the information; stemming from the distributed processing philosophy. This aims to keep network traffic and computer processing in a local environment, so as not to saturate the central servers and to reduce latency.
Distributed cloud is the distribution of public cloud services to different locations outside the provider’s data center and it is the provider who is responsible for the operation, governance and maintenance of the data. This implies a change from the centralized model of most cloud service providers.
Autonomous systems are physical devices that use AI to perform tasks that were previously carried out by people. This includes industrial robots, humanoids, drones and autonomous vehicles, among others. The main areas that are developed in these systems are: perception, interaction, mobility, manipulation, collaboration and autonomy.
Blockchain is an expandable list of irrevocable transaction records, cryptographically signed and shared by all participants in a network. Each record contains a temporary stamp and a reference link to the previous transaction. Simply speaking, it is the digital implementation of a distributed and unalterable ledger.
Given the capabilities of Artificial Intelligence, and especially Machine Learning, it is expected that in the next 5 years these technologies will be used to augment analysis and decision-making in a wide range of intelligent environments, from companies to leading cities. The amount of data processed by ML models is immense, and, in many cases, includes personal information. This involves a vast amount of potential points of attack, for example, IoT, microservices, servers, connected personal devices, etc. creating the need for advanced cybersecurity systems.