Predictive analysis for 2022 tech trends
The 2022 predictive analysis shows that the Covid-19 pandemic has strongly influenced future technologies. The imperative need for physical distancing has generated new needs, which have made it possible to create new technological solutions, such as tracking applications.
Thanks to this composite architecture, companies can “recompose” when needed, such as during a global epidemic or an economic recession. It follows 4 fundamental principles: modularity, efficiency, continuous improvement and adaptive innovation.
While many companies apply these principles piecemeal, this structure model requires implementing them across all parts of the organization. The advantage: the composite architecture allows to create more innovation, reduces costs and brings better partnerships.
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Trust in algorithms
With the spread of fake news, deep fake or even biased AI, the business trust model, which previously relied on responsible authorities, has been replaced by algorithms. The reason: they guarantee confidentiality, data security, the source of assets, especially in the case of blockchain, as well as the identity of individuals and objects.
Technology is creating new opportunities for digital representations of ourselves, such as health passports or digital twins. These digital models can represent individuals in physical and virtual space
In the corporate world, potential applications include authentication, access and payment, immersive analytics, exoskeletons, and bi-directional BMI (brain-machine interface).
Formative artificial intelligence
Formative AI is a type of artificial intelligence that is able to change dynamically to respond to a given situation. Technologies associated with this emerging trend include composite AI, differential privacy, small data , and self-supervised learning.
For more than 40 years, the computer industry has been guided by Moore’s Law, which states that the number of transistors in a dense integrated circuit (IC) doubles approximately every two years. But technology is rapidly reaching the physical limits of silicon. New advanced materials with enhanced capabilities are designed to support smaller and faster technologies, such as DNA computing and storage that use biochemistry instead of silicon or quantum architectures to realize calculations or store data.
While this technology is still rudimentary and expensive, with significant technical hurdles to overcome before it can be used in mainstream use, Gartner believes it could have a tangible impact on data storage, processing parallelism and efficiency. of the calculation. Biodegradable sensors and carbon-based transistors are other technologies to consider in this emerging trend.