Top 12 Artificial Intelligence Trends to Watch in 2022

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

The top Artificial Intelligence trends in 2022 offer an excellent overview of the technological innovations that companies will face in the coming months. Indeed, in recent years, AI has been driving significant developments in modern organizations. But what does this technology have in store for us in 2022? The answer in our dossier.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

According to Sundar Pichai, CEO of Google, Artificial Intelligence trends (AI) is “.the most profound technology that humanity has ever developed or manipulated…”. Artificial Intelligence and machine learning (ML) techniques are indeed making a major technological transformation and breakthrough in various industries.

In 2022, AI/ML advancements will reach new heights and further push the boundaries already reached so far.

Here are the top 12 Artificial Intelligence trends to watch in 2022.

Table of contents

  • Hybrid AI Models
  • More Massive AI Models
  • AI Models Without Code
  • Cybersecurity and Artificial Intelligence
  • Natural Language Processing
  • Unsupervised Machine Learning
  • Full-Stack Deep Learning
  • Machine Learning and Embedded Systems
  • Operationalization of Machine Learning
  • AI at the Service of Hyperautomation
  • A more Eco-friendly Artificial Intelligence
  • A more Skilled Workforce

1. Hybrid AI Models

The next 12 months of 2022 will see the emergence of new hybrid Artificial Intelligence trends. These models will exploit the combined strengths of symbolic Artificial Intelligence and deep learning. As a reminder, symbolic AI is a decades-old discipline. It allows to reproduce human reasoning through the enumeration of a set of rules, or symbols.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

These rules, submitted to the computer, will allow to create expert systems. In the coming months, these hybrid models will allow us to obtain algorithms capable of acquiring knowledge on their own. These models will be able to make better decisions because they take into account human expertise.

2. More Massive AI Models

Machine learning models will continue to increase in size in 2022. Indeed, the larger the volume of data processed, the more precise the analysis performed by the algorithm will be. The resulting decisions will therefore be more judicious.

In addition, large models typically have an impressive number of parameters. The largest models available in 2021 can contain up to 1,600 billion parameters!

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

These supermassive models can then be used to design systems capable of understanding human language and its subtleties (sarcasm, irony…). These algorithms can also write articles, perform translations, or even write an entire computer code.

From 2022 onwards, Artificial Intelligence trends will reach similar performances in the field of vision or image recognition. We can therefore expect to see some impressive application cases in the coming months.

3. AI Models without Code

Faced with a shortage of ML specialists, the creation of Artificial Intelligence systems with little or no code is gaining popularity. The use of these new systems will tend to become widespread in 2022. This is to meet the growing demand for Artificial intelligence trends at the enterprise level.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

Indeed, low-code or no-code Artificial Intelligence allows developers to create complex systems that reuse ready-to-use modules. The design of the system is done by simple drag and drop through a very intuitive interface. It does not require any particular expertise in machine learning.

Simple and quick to implement, no-code and low-code AI s y s t e m s allow the democratization of artificial intelligence at the enterprise level. They also offer small companies the possibility to compete with larger companies. And this, without necessarily having a team of AI specialists.

4. Cybersecurity and Artificial Intelligence

Cybersecurity is one of the hottest fields in 2022. With an ever-increasing online presence and the near-constant incursion of connected devices into our daily lives, the attack surfaces continue to expand.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

By 2022, AI/ML tools will have their role to play in the fight against cybercrime. According to IBM, these tools are capable of helping companies respond 60 times faster to cyberattacks.

Indeed, Artificial Intelligence trends can help companies detect and map suspicious activity. This will allow companies to put in place more effective responses to protect customer data from intrusions.

5. Natural Language Processing

Natural language processing (NLP) is one of the areas of artificial intelligence trends that has seen the most progress in the last 3 years. More and more AI-based devices, such as Siri, Cortana or Alexa, are able to interpret human language and perform different tasks such as translation or speech recognition.

The year 2022 promises notable developments in the field of NLP. The upcoming release of Open-AI’s GPT-3 model will create a revolution in the coming months. This model is considered the most advanced NLP model in the world.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

According to some rumors, Open-AI is already developing the successor of GPT-3. This last one, named GPT-4, is 500 times bigger than its elder and will allow to reach performances unequalled until now. The GPT-4 model would seem to be so powerful that it could converse with a human and even develop a new language.

6. Unsupervised Machine Learning

To work properly, most current ML algorithms require training with data previously labeled by a human actor. This is called supervised learning. Unsupervised learning techniques, on the other hand, do not require any human intervention to identify similarities in the data.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

By 2022, unsupervised learning techniques will be improved and applied to a much wider range of use cases. AI/ML algorithms encountered at the enterprise level will then be more autonomous and require less user interaction.

7. Full-Stack Deep Learning

Full-stack deep learning is a trend that results in the creation of frameworks and libraries to help engineers when integrating ML models into an existing infrastructure (back-end, cloud, mobile, etc.).

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

By 2022, the demand for full-stack deep learning will be constantly increasing. This evolution will be caused in large part by the wide diffusion of ML-based products at the enterprise level. Indeed, full-stack deep learning allows companies to be more responsive to changes in the business market.

8. Machine Learning and Embedded Systems

The use of very small-scale machine learning models, or TinyML, is among the AI trends to watch in 2022. This field of Artificial Intelligence trends actually allows ML algorithms to be executed on IoT devices with embedded systems or microcontrollers.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

The TinyML approach allows to make small connected objects smart. It also offers several advantages, such as reduced energy consumption and better protection of users’ privacy.

The fields of application of TinyML can concern industrial maintenance, the health sector, agriculture, or the preservation of aquatic life.

9. Operationalization of Machine Learning

MLOps or Machine Learning Operations is a methodology that defines a framework for the rapid integration, deployment and maintenance of ML models. It is a collaborative and iterative process that treats ML models as reusable components.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

MLOps therefore enables better management of large-scale Artificial Intelligence trends designed by engineering teams. In addition, it frames how these teams communicate with each other and ensures consistency and reliability when developing machine learning solutions.

According to a report by Neuromation, the MLOps market will register growing interest in 2022 as well as in the years to come. This market will grow from approximately $23.2 billion in 2019 to $126 billion in 2025.

10. AI at the Service of Hyper-Automation

According to the American firm Gartner, hyper automation will be one of the top 12 technology trends in 2022.

Hyperautomation is an approach that allows companies to automate all repetitive tasks that require human intervention. With the help of AI and RPA (robotic automation), this approach will be able to optimize undocumented processes that rely on unstructured data entry.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

On the other hand, hyper-automation enables the creation of a digital workforce that can connect to business applications, process the data stored in them and identify new automation opportunities.

Finally, in the coming months, hyper-automation will enable the creation of a digital twin of an organization. This digital twin will help decision makers better identify the interconnections between processes, functions and key performance indicators.

11. A more Eco-Friendly Artificial Intelligence

In the current context of climate change, the issue of the environmental impact of Artificial Intelligence trends will be at the center of discussions in 2022.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

Indeed, experts estimate that data centers will produce 15% of the world’s CO2 emissions by 2040. Training a natural language translation model, meanwhile, emits the CO2 equivalent of four personal vehicles over its entire life cycle.

In order to limit the carbon footprint of AI/ML models, we should see in the coming months the design of more eco-responsible and less energy-intensive models. These models will be simpler, but just as efficient as the current complex models.

12. A more Skilled Workforce

Artificial Intelligence trends regularly raise concerns about human obsolescence in the face of machines with ever increasing intelligence. However, we realize that as AI/ML techniques are applied in business, the capabilities of employees are often enhanced.

Top 12 Artificial Intelligence Trends to Watch in 2022 - Daily Techno Review

In the field of marketing, AI is used to select the prospects on which the company should focus its efforts. AI/ML models are used to predict failures and plan maintenance interventions in the field of manufacturing.

One thing is for sure though, Artificial Intelligence-based tools are here to help companies work more efficiently. These tools improve employees’ skills and allow them to better grasp complex problems in a business context.

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