8 Key Trends in Artificial Intelligence and Machine Learning to Watch in 2022

2022 will be an important year to witness artificial intelligence (AI) and machine learning (ML) moving forward to become some of the most disruptive yet innovative technologies ever developed. Google CEO Sundar Pichai said  the impact of AI will outweigh the impact of fire or electricity on human development  as a species. It may be an ambitious claim, but the potential of AI is very clear in the ways it has been used to explore space, combat climate change, and develop cancer treatments.

It can be hard to imagine the impact of machines making decisions faster and more accurately than humans, but one thing is certain. 2022 will see new trends and innovations pushing the boundaries between AI and machine learning.

Here are the  eight key AI and machine learning trends to watch  in 2022:

1.  Efficient workforce

Since the advent of artificial intelligence and machine learning, there have always been fears and concerns about these disruptive technologies that will replace humans and even render some jobs obsolete. However, as businesses begin to implement these skills and introduce AI/machine learning literacy into their teams, they find that working with machines with more intelligent cognitive capabilities actually improves the abilities and skills of their employees.
In marketing, for example, businesses are already using AI/ML tools to help them focus on  leads and the business value they can expect from them. Also in engineering, AI and machine learning tools enable predictive maintenance, the ability to predict and inform the maintenance and repair needs of enterprise equipment.  AI/ML technologies are also widely used in fields  such as law to view growing data and find  information suitable for  specific tasks.

2. Natural Language Processing (NLP)

NLP is currently one of the most commonly used artificial intelligence technologies. This technology greatly reduces the need for typing or interacting with screens as machines begin to understand human language and now we can  talk to them. Additionally, artificial intelligence devices can now translate human natural language into computer code that can run applications and programs.

Release of GPT3, the most advanced and largest NLP model ever made - OpenAI marks a major leap forward in language processing. It consists of about 175 billion “parameters”. In other words, data points and variables that machines use to process language. Now OpenAI is developing GPT4, a more powerful successor to GPT3. According to speculation, GPT4 can contain about 100 trillion parameters,  500 times more than GPT3.

This development is literally a much bigger step towards developing a language and creating a machine that can  engage in conversations  indistinguishable from humans.

Some of the NLP technologies expected to gain popularity are sentiment analysis, process description, machine translation, automatic video captioning, and chatbots.

3. Enhanced Cybersecurity

The World Economic Forum recently found that cybercrime poses a greater threat to society than terrorism. Cybercrime is rampant and cybersecurity decisions are complicated when smarter but more  complex machines connected to  vast networks take control of every aspect of our lives.
Artificial intelligence and machine learning tools can play an important role in solving this problem. For example, AI/ML algorithms can analyze higher network traffic and recognize malicious hypothetical behavioral patterns. In 2022, some of the most important AI/ML technology developments will be in this area.

4.  Metaverse

Metaverse is an internet-like virtual world where users can work and play together for an immersive experience. The concept of  metaverse became a hot topic when Facebook CEO Mark Zuckerberg mentioned the combination of  virtual reality (VR) technology and the Facebook platform.
Undoubtedly, AI and ML will be at the heart of the metaverse. These technologies will enable businesses to create virtual worlds where users can feel at home with AI-powered virtual bots. These AI virtual creatures can help users choose the right products and services, or help them relax and unwind while playing games.

5. Low-code and no-code technology

The lack of skilled AI developers or engineers is a major obstacle to adoption of AI technologies for many businesses. Nocode and lowcode technologies come to the rescue. These solutions aim to provide a simple interface for developing theoretically very complex artificial intelligence systems.
Today's web design tools and  user interface (UI) nocode allow users to create web pages by simply  dragging and dropping graphical elements together. Similarly, nocode artificial intelligence technology allows developers to combine various off-the-shelf modules and pass industry-specific data to create intelligent artificial intelligence systems. And with NLP, low-code and no-code technologies, you can soon teach complex machines with  voice or written instructions. These advances will lead to the “democratization” of AI, machine learning and data processing technologies.

6. Hyperautomation.

By 2022, more companies will use artificial intelligence and machine learning technologies to automate multiple but repetitive processes involving large amounts of information and data. Automation using robotic process automation (RPA) and intelligent business process management software (iBPMS) will increase in various industries over the next few years. These trends in artificial intelligence and machine learning are enabling businesses to reduce their reliance on  human resources and  improve the accuracy, speed and reliability of all processes.

7. Quantum AI

Businesses of today will soon start using quantum computing AI to solve complex business problems faster than traditional AI. Quantum AI provides faster and more accurate data analysis and pattern prediction. This helps a variety of businesses identify unexpected problems and find workable solutions. As a result, quantum AI will revolutionize many industries such as healthcare, chemistry, and finance.

8. The realm of creativity.

Creativity is widely regarded as an ability that only humans have. But today we are witnessing the emergence of creativity in machines. This means that artificial intelligence is gradually approaching real intelligence.
We already know that AI can be used to create art, music, theater, and even video games. In 2022, the advent of GPT4 and Google Brain will change the boundaries between AI and machine learning in the field of creativity. Now people can  expect more natural creativity from their AI machine friends.
Most of today's creative searches for artificial intelligence technologies are more likely to reveal the potential of artificial intelligence. But in 2022, the scenario will  change dramatically as artificial intelligence technologies enter everyday creative tasks such as writing and graphic design.

AI/ML Future Growth

All these trends in artificial intelligence and machine learning will soon affect businesses around the world. These disruptive technologies are powerful enough to transform any industry, enabling organizations to achieve business goals, make critical decisions, and develop innovative products and services. The
AI/ML industry is projected to grow at a CAGR of 33% by 2027. It is estimated that businesses will implement at least 35 AI initiatives  by 2022. Enterprise.