Artificial Intelligence is the latest topic of debate among several industries, and most of them are looking for ways to implement it in their workplace.
Like other technologies, AI also has its own merits and demerits, not all of them are worth your time and money.
Artificial Intelligence is the ability of a machine to learn and think like human beings. With experience and continuous practice, it can develop specific particular skills.
In a recent study, it was found that more than 32 percent of the industries will start using AI in the next 12 months.
In the upcoming years, AI-based machines will help businesses solve complex problems, make better decisions, handle repetitive work, and many more.
Here is the list of 11 Artificial Technologies that will be widely used in the year 2023 and beyond:
1. Machine Learning Platforms
Nowadays, computers have become very intelligent and can learn themselves. Machine Learning is a branch of artificial intelligence whose primary focus is to develop strategies and techniques that allow computers to learn.
Machine Learning platforms are becoming popular with each passing day due to their powerful APIs, big data, robust algorithms, applications, and many more.
Some of the big enterprises that are providing machine learning platforms include Google, Microsoft, Amazon, and others.
2. Deep Learning Systems
Deep learning is a branch of artificial intelligence that uses neural circuits to make the machine think and process data like a human brain.
Many big organizations use deep learning platforms to recognize patterns and build applications that can handle large data sets.
Some of the popular deep learning platform providers include MathWorks, Sentient Technologies, Deep Instinct, and others.
3. Biometrics
Biometric technology can identify and analyze the human body’s physical appearance and structure for security purposes.
In this, AI-based devices are used to interact with human senses like touch, voice, and others.
Some of the popular companies working on the development of biometric technology are Agnito, Tahzoo, 3VR, Sensory, and others.
4. Robotic Process Automation
In Robotic Processes Automation, AI-based devices and machines use powerful algorithms and scripts to automate repetitive human tasks to increase the overall productivity of corporate industries.
It is beneficial in performing complex tasks where hiring a professional might be expensive.
It also saves businesses their time and money in performing mechanical and repetitive tasks with ease.
With the help of robotic process automation, overall productivity can be increased as it handles most of the manual tasks which gives humans more time to make a creative strategy for the company’s growth.
Some of the top organizations leveraging the benefits of robotic process automation are Blue Prism, WorkFusion, and others.
5. AI modeling and Digital twin
A digital twin is a type of software or tool that works as a connection between the digital world and the respective physical systems.
For example, General Motors is working to build AI software to monitor its gas turbine engines, and aircraft engines, and predict failures to increase the overall production capacity.
The digital twin, in this case, is the software codes and 3D computer-aided designs consisting of interactive charts, diagrams, and graphics.
Some of the companies that are using digital twin technologies are Verum, Aklesos, Supply Dynamics, and others.
6. Cyber Defense
Cyber defense is a defense mechanism of the computer network that detects and prevents any attack on its infrastructure.
Artificial learning and Machine learning are extensively used to tackle any security threat in a hostile environment.
In 2018, due to a data breach, more than 100 million users of the social networking site Facebook were affected.
Recurrent neural networks along with machine learning techniques create technologies to detect any suspicious activity.
Hence, security professionals are advised to take an artificial intelligence certification course to enhance their skills so that they can be ready to handle any issue related to a security breach.
The technology company, Cylance, is working on the development of AI-based software to stop any malware attack.
7. Compliance
Compliance is approval or certification that a particular organization or individual meets the given requirements, rules, legislation, and standards of a specific industry.
Many organizations are using AI to deliver automation and risk coverage efficiently.
There are several examples of using AI for compliance purposes such as NLP solutions which use regulatory text to identify any changes that are relevant to an organization.
With the help of predictive analysis and capital stress testing solutions, an organization can be compliant with the capital regulatory requirements.
Deep learning is used in businesses to reduce the cases of money laundering significantly.
The organizations working in this field include the compliance technology company, Merlon Intelligence, which combats any financial crimes, and Secure, which reduces fraud cases by using a predictive analytics platform.
8. Knowledge Worker Aid
Most of the industry experts believe that artificial intelligence will lead to the loss of human jobs.
However, we should also not forget its potential to help employees increase their productivity, especially those who are related to knowledge work.
In fact, knowledge work automation is considered one of the most emerging trends in the field of technology.
Some of the industries where AI is heavily adopted are the medical and legal industries where AI is being adopted for diagnostic purposes.
In a recent study conducted by Juniper Research, it was found that by the end of 2022, industries will spend more than $7.3 billion per year on artificial intelligence.
The number of organizations working in this field has increased significantly. The organizations are empowering workers with little or no IT knowledge to create document processes and workflow.
The technology company, Kyndi, is working on designing an integrated platform to help its employees process a large amount of data and information.
9. Peer to Peer networks
Peer-to-peer networks are the form of a system in which the resources and data are shared between two computers without data being transferred through the server computer.
It is also used in cryptocurrencies and even solves the most complex problems by analyzing information and data.
The technology company, Nano Vision, is working on a system where they reward their customers with cryptocurrency in exchange for their molecular data. Its primary goal is to change our approach to infectious diseases, health issues, cancer, and many more.
10. Emotion Recognition
Emotion recognition technology helps to analyze emotions on a human face with the help of advanced audio, video, and image processing software.
It also helps to capture any body language, and micro-expressions changes to analyze the mood and behavior of human beings.
This technology can also be used by law enforcement officers to get critical information from criminals during interrogation. Digital marketers can also use it to increase the sales of a company.
The number of startups working in this field is continuously increasing. For example, the technology company with the help of audio and video inputs knows about a person’s traits such as how angry or sad they are.
Another technology company, Affectivas uses emotion technology in gaming, healthcare, automotive and other industries.
11. Image Recognition
Image Recognition technology along with artificial intelligence is used to detect and identify a feature in a digital image or video.
With the help of artificial intelligence technology, you can search for any image on social networking platforms and compare it with several data sets to find the most relevant one during the searches.
It can also be used to diagnose diseases, verify users, and detect license plates based on a particular user’s face.
Another technology company, SenseTime, is using AI along with Image Recognition technology for bank card verification purposes.
Final Thoughts
The applications of Artificial Intelligence technologies are in almost all the major industries including healthcare, marketing, automotive, law enforcement, and many more.
It has changed the way businesses interact with their consumers; however, privacy and security remain two of the major concerns that need to be addressed by organizations.
You need to understand how to leverage the benefits of this technology according to your needs and requirements.
