Artificial Intelligence is the fastest growing data-driven technology in the world. According to existing data, in just four years, the number of entities using Artificial Intelligence has increased by 270 percent. It is estimated that by 2027, the global AI market will have grown to $267 billion. In addition, more than 90 percent of the world's most successful companies are investing in artificial intelligence.
After implementing AI, more than half of the organizations have acknowledged enjoying an increase in productivity. In addition, in order to enjoy better experiences with companies, more than 60 percent of consumers agree to provide data that can be put to the service of AI.
The latest trends in artificial intelligence for 2022
Data analysis and valuable information
Due to the immensity of Big Data and how much Artificial Intelligence depends on it, there is always the possibility that poorly organized data could end up in an AI training data set or model.
More and more companies are becoming aware of the value of developing compliant AI that performs ethically, and a growing number of AI developers and service providers are beginning to offer responsible AI solutions to their customers.
Companies are engineering a variety of options to make AI more responsible, and most of them start with evaluating and cleaning up both data sources and existing AI models to date.
AI and loT trend simultaneously
The term Artificial Intelligence of Things (AIoT) refers to a new AI trend in the global industry. Although IoT and AI are powerful technologies that can be employed independently, the new AI trend is expected to open up a host of new business options.
It is well known that IoT interacts with devices and generates a large amount of data. AI leverages real-time data and automates business processes without the need for human intervention. As a product of this, companies can easily build advanced digital transformation strategies by combining these cutting-edge technologies.
Some giants such as Amazon, Oracle, Google or Microsoft are already working to integrate AI into IoT, which will undoubtedly set a trend soon that will spread across different layers of the industry.
Use of AI-enabled chips
AI-enabled chips are another notable AI trend that will help AI grow in the enterprise environment. AI-enabled chips are a new trend whose main goal is to improve the performance of customized AI solutions.
According to one estimate, it is expected that AI-enabled chips could create a market value of more than $90 billion by 2025. With faster data processing capabilities, these chips will enhance AI applications such as object identification, facial recognition, natural language processing, etc. Many major companies, such as NVIDIA and Qualcomm, have already developed AI-enabled chips to enhance their customers' gaming experience on mobile devices.
Autonomous drones with AI
There are estimates that the drone business could be worth $1.5 trillion within 20 years. Currently, AI-powered drones are successfully used for surveillance, deliveries and inspections in various industrial sectors. Their good performance means that their popularity is growing and AI-powered drones will have a substantial impact on the global industry in the near future. Whether for security or distribution, AI-powered drones will become a critical AI trend for many companies.
Stopping malware attacks
Cybersecurity has always been a vital factor for companies and even more so with the rise of digitalization. With the increasing use of AIoT, more data will be generated and therefore more phishing and hacking attacks will occur.
However, enterprise security levels would improve with the use of powerful and intelligent AI solutions in the field of prevention.
Automated machine learning
Automated machine learning is an AI development that is already generating a lot of confidence among those who invest in it. Even non-experts will be able to apply machine learning algorithms and address the advancement of AI capabilities and the proliferation of AI applications in business.
It is going to mean that there will be more executives and workers who with the help of robust tools like machine learning focused clouds and the breadth of data science will expand exponentially. This will allow companies to make fluid changes in their digital transformation initiatives without fear of sophisticated machine learning algorithms.
Although Artificial Intelligence has been changing the world as we know it for some time now, 2022 will be a very important year in its global expansion, especially after the pandemic has changed numerous vectors of reality.
