The future is rapidly evolving and these are the most impactful technologies that help to understand the steps of an unstoppable disruptive process that intends to offer solutions to the demands of a market increasingly interested in different issues. Metaverse, generative AI and intelligent spaces are some of the important issues that technology faces every day, oriented towards efficiency and functionality.
But what will be the seven macro areas in which we will witness a greater number of changes?
Smartier & easier spaces.
By intelligent spaces, we mean an area of variable size and morphology: we can refer to a city as well as to an entire environment. In these intelligent dimensions, there is an interchange between human beings and physical space and an ever more open, connected and interdependent technology. It is the relationship between the needs of the former and the functions and efficiency of the latter that determines an intelligent space. COVID 19 made it essential to adopt intelligent spaces, which would ensure healthy air and social distancing. Smart spaces are also interdisciplinary and as we proceed in the future, they will increasingly be able to guarantee everywhere and for everyone optimized management for people.
Less artificial, more intelligent.
For generative AI, we mean all those artificial intelligence techniques capable of reproducing learned data while maintaining its originality or learning completely new ones. This field will rapidly progress on the double track of commercialization and scientific evolution. It is already possible to see how this revolution takes on science-fiction characteristics, especially in the creation of new materials and in the preservation of privacy, but within eight years it will be able to reach sectors such as life sciences, health care, without problems, manufacturing, materials science, media, automotive, aerospace, defence and energy.
Homomorphic means protection.
Homomorphic encryption allows third parties to process encrypted data without knowing the data or results. Unlike traditional cryptography, it allows data scientists to perform operations on encrypted data while protecting privacy. However, there are some aspects that hinder its rapid adoption due to the difficulty of standardizing such a complex language and the related performance problems. This technology could become indispensable as well as the basis for ensuring data protection between those who provide them and those who analyse them and will eliminate the current need to archive data between business partners and analysis companies.
New business partners.
Graph technologies deal with graph data management and analysis techniques. In fact, they allow the study of the interactions between different types of entities: organizations, people or companies. It is a very heterogeneous and difficult to analyse and archive data analysis that takes place based on models that determine the connection between many sets of data. This is very useful for example in social networks, when different data paths can lead the community to unexpected behaviour. Surely, the revolution in this field will not happen before three years. Graph databases are ideal for storing and analysing specific perspectives, languages, and processing capabilities.
Not the same reality.
The Metaverse is the next evolutionary phase of social media and the web in general, but it is still in its beginnings. An immersive digital reality interconnects networks through protocols that are still being determined. The disruptive force of this trend lies in having revolutionized the way in which individuals interact with each other and the world, a change of interaction that allows digital content to encounter content in real-time, orienting it spatially and indexing it in the external world. The metaverse, although in the initial phase, is already showing a lot of potential for use and new business models.
A boost for corporate security
The technology will also see an enhancement in the offer dedicated to keeping the security of corporate technological environments. In particular, it’s expected to adopt an emergency recovery that will provide for replication of production data in a special cloud and other similar tools to avoid drastic relapses for companies due to increasingly frequent cyber-attacks. This will happen through the adoption of a cloud with more flexible and secure storage spaces also provided for mobile devices.
More and more automation.
The automation of robotic processes will be increasingly evident and able to almost definitively outclass human bureaucratic data processing. This will certainly allow for faster, lighter and more productive data archiving. It has been predicted that the growth of automation over the next five years could come close to an increase in service of over 25% (Grand View Research report)
And what about robots in daily life? Read more in the previous articles: