7 Trends in Artificial Intelligence for 2022

7 Trends in Artificial Intelligence for 2022

With the start of the new year, you will wonder what the main lines will be that will mark the path of artificial intelligence during these 12 months. To help you clear up this issue, at  Datision  we have identified a set of 7 aspects that you should follow closely. Do not wait any longer and find out about their keys.


What trends will mark the world of artificial intelligence in 2022?

1.- A market that continues to rise

The maturity of artificial intelligence will be reflected in a greater adoption of its solutions in all types of sectors. This will result in a growth of your market. According to Gartner , in 2022 the artificial intelligence-based software market will be 62.5 billion dollars, 21.3% more than in 2021.

In addition, the main cases of use of this type of software were identified, which will be:

2.- Hyperautomation of processes

Artificial intelligence will continue to be a key piece for the automation of business processes in 2022. Within the production lines, technologies such as  artificial vision or computer vision  will greatly speed up  quality control tasks  for raw materials, finished and semi-finished products.

These tools also participate in the permanent monitoring of variables related to the state and operation of the equipment. Thus, data is collected without the need for operators to make continuous checks in person.

Automation with AI, in addition to accelerating operations, also eliminates the biases of the human being, the errors that our own nature brings, and the differences in criteria between different people.

3.- Optimization of human resources

The progressive implementation of artificial intelligence solutions in the various production processes has been mitigating certain fears on the part of the workers. Some fears related to the idea that their jobs were in danger due to the incorporation of  technological solutions  capable of automating their tasks.

However, it has been shown that this is not the case, but rather it has led to an improvement in the conditions of employees and in human resource management. For example, they can now abandon repetitive tasks with little added value to focus on more relevant and motivating operations.

In addition, the use of solutions such as  predictive maintenance  makes it possible to manage human resources more efficiently, saving time in carrying out unnecessary equipment checks when they are in good condition. For marketing, sales and customer service, artificial intelligence allows the most valuable opportunities and customers to be detected and the main efforts to be focused on them.

4.- Understanding of human language

Natural Language Processing or NLP has been one of the most frequent uses of artificial intelligence for some time and one that is followed and will continue to be worked on the most. A clear one is the increasingly common and improved chatbots that we can find on many websites to answer our questions.

But Natural Language Processing is much more than chatbots. This is applied in functions such as the analysis of publications on social networks to detect the emotions that are hidden behind them, automatic translations, generation of subtitles, classification of documents and their content, detection of topics, etc.

Currently the most advanced PLN model in existence is known as GPT-3, which handles more than 175,000 million parameters. Work is currently underway on its next version, GPT-4, which includes more than 100 billion of these parameters, greatly multiplying the opportunities of this technology.

5.- More and better protected data

As we become more digitally connected, cyber attacks are becoming more dangerous and business critical. The greater presence of computers and systems and the increase in information flows through them means that we must be more careful with their protection.

During the just ended 2021, in Spain there were about  40,000 daily cyberattacks , which was 125% more than in 2020. To this we must add the fact that each cyberattack has an average cost of  30,000 euros for an SME . A price that can be a burden for many businesses that is impossible to get rid of, causing their closure on many occasions.

Faced with this scenario, Machine Learning solutions   are an increasingly effective barrier against these risks. Its algorithms are capable of  analyzing large amounts of data , IP addresses and many more sources, recognizing patterns of malicious and suspicious activities.

6.- Surveillance and care of the environment

Although it may not seem like it, working with artificial intelligence can leave a significant carbon footprint. In fact, some  forecasts  indicate that by the year 2040, the operation of data centers will represent 15% of the total CO2 emissions on the planet.

On the other hand, the study “ Energy and Policy Considerations for Deep Learning in NLP ” stated that training a Natural Language Processing model for translation emitted CO2 in quantities equivalent to 4 family cars throughout its useful life.

Therefore, all the actors involved in the artificial intelligence ecosystem must strive to find the best ways to generate efficient models, and at the same time simple, whose environmental impact is as minimal as possible.

From another perspective, artificial intelligence itself will continue to help different scenarios to  better understand their energy consumption patterns  and thus save on it. Some solutions that can be applied in  factories  or in other locations, such as  elevators  in all kinds of buildings.

7.- 5G communications

5G communication technology should definitely take off in 2022. The parties involved are determined to give everything for the deployment of 5G. As proof of this, the Government of Spain has included in the General State Budgets an  item of 600 million euros  destined for the implementation of this technology in environments such as urban centers and transport corridors.

5G will be key for communication in general and for the growth of many companies in particular. A resource that will serve as a boost for the implementation of IoT and IIoT solutions in your facilities, obtaining more and better data about everything that happens in them. Information that can be processed with artificial intelligence algorithms to detect trends, anomalies, errors, opportunities for improvement, etc.

From the point of view of telecommunications companies, artificial intelligence is an option to be taken into account to automatically manage and orchestrate 5G networks and all the infrastructure involved. With this, its operation will always be optimal, adapting its resources to the circumstances, with a greater capacity for response. As a result, customers will get the best possible user experience.

So far this review of the main trends in artificial intelligence for this 2022. From now on, we will be very attentive to its evolution, in addition to checking if any more arise. Of course, we will keep you abreast of all the news that arises, both through  this blog and through our profiles on social networks ( LinkedIn  and  Twitter ). Follow us!