What Will Be The Hi-Tech Trends In 2022?

What Will Be The Hi-Tech Trends On Which To Bet In 2022?

A selection of emerging technologies that can positively influence the growth of companies in the coming months.

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How much sense does it make to imagine a list of tech trends that will leave their mark this year?

A lot, even if innovation is subject to continuous evolution. To understand which could be the best development drivers, but also to understand which innovations will transform the reality we live in, here are some key technological trends on which to divert investments so as not to be caught unprepared by the future.

1. Quantum computing

Quantum computing allows machines to manage information in a different way than traditional computers do. Its main added value is represented by the great computing power, much higher than that which can be obtained today from the most advanced supercomputers.

2. Data Fabric

Data fabric can provide flexible and resilient integration of all data sources made available by corporate platforms and resources. In this way, the data is accessible and usable wherever it is needed, regardless of where it is located and in what form.

Combined with data analytics, the Data Fabric can learn and suggest where and how they should be used and modified to best express their potential in decision making .

3. Extended reality

If, nowadays, the skills in the field of augmented reality (AR) are already very advanced and are spreading more and more in the most disparate fields, an even greater push will be that towards virtual reality (VR). To be decisive, in 2022, will be above all the entry on the market of new generation VR devices.

4. Cybersecurity Mesh

A Cybersecurity Mesh is, in fact, a flexible and composable architecture that integrates distributed security services.

Essentially, it allows best-of-breed and stand-alone security solutions to work together to improve the overall security of an infrastructure by moving control points closer to the assets they need to protect.

It can quickly and reliably verify identity, context, and policy adherence, in both cloud and traditional environments.

5. Datafication

Datafication refers to the process by which subjects, objects and practices are transformed into digital data. Datafication transforms a wide range of quantifiable and machine-readable data information for aggregation and analysis purposes.

Already today it is possible to use the data to better understand customers, potentials and established ones, but through ad hoc analyzes it will be possible to research key trends and obtain detailed information on what works best within each work group.

6. Privacy-Enhancing Computation

The computing systems that work to increase and improve the privacy of users and consumers make the processing of personal data safe in environments that are not always reliable: this represents an increasingly critical factor in consideration of the fact that data protection laws they are constantly evolving and consumer concern is increasing.

7. Cloud and network infrastructures

Computing power will continue to grow in 2022. In the current situation, we already have significantly better cloud systems than in the past, and many companies are reconfiguring most of their functions trying to understand what value-added services a cloud platform will be able to offer. offer to improve your business.

Parallel to services, network infrastructures will also grow: 5G is an increasingly consolidated reality also in our country and 6G is already on the horizon.

8. Cloud-Native Platforms

These are technologies that make it possible to build new application architectures that are resilient but at the same time flexible and agile at the right point, to offer rapid responses to digital change.

Cloud-native platforms enhance the traditional lift-and-shift approach to the cloud .

9. Modular Application

The modular applications are built from modular elements focused specifically on the business to which they are addressed.

In concrete terms, they make it easier to use and reuse software code, accelerating the time to market of new solutions.

10. Decision Intelligence

Decision intelligence is a practical approach to improve organizational decision making processes. In practice, it allows to translate any type of decision into an articulated set of processes and flows, using artificial intelligence and analysis tools to inform, learn and refine the inputs / outputs necessary to make a choice.

11. Hyperautomation

Hyper-automation is a disciplined, business-oriented approach aimed at quickly identifying, examining and automating as many business processes as possible and involving IT in its broadest sense.

Hyper-automation allows scalability, remote operation and disruption of the business model.

12. AI Engineering

Artificial intelligence engineering automates data, model and application updates to optimize AI delivery.

Combined with strong governance, artificial intelligence engineering is capable of operationalizing the provision of AI to ensure its continued business value.

13. Distributed Enterprises

Distributed enterprises reflect a digital-first and remote-first business model to enhance employee experiences, digitize consumer and partner touchpoints , and build experiences in product creation and distribution.

14. Total Experience

The so-called total experience is a business strategy that integrates all the various types of experience : starting from that of the employee, then passing through that of the customer, up to the user experience and the multitude of experiences connected with the various touch points.

15. Autonomic Systems

Autonomic systems are physical systems or self-managed software that learn from the same environment in which they are inserted, coming to dynamically modify their algorithms in real time to optimize behavior in complex ecosystems.

In practice, they create an agile set of technological capabilities that are able to support new requirements and situations, optimize their own performance and autonomously defend themselves against external attacks without the need for human intervention.

16. Generative AI

Generative AI learns artifacts from data, and generates innovative new creations that are similar to the original but don't repeat it.

Generative AI creates new forms of creative content and accelerates research and development cycles in the most diverse fields of the general industrial context.

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