10 hottest Artificial Intelligence (AI) Technologies in 2024

Artificial intelligence has seen exponential growth in recent years.  Artificial intelligence is present in every field. Artificial intelligence is at the forefront of apps, from Google to shopping for these apps.  A large number of hardware and software applications make use of artificial intelligence directly and indirectly. 

Top 10 Artificial Intelligence Technologies of 2024

• Natural language creation

Commonly known as language creation by Psycholinguists, it converts data into natural language. In other words, the creation of natural language can also be assumed to be the process of converting thoughts and ideas into words. For instance, when a child looks at the stars in the night sky, they can have different thoughts and ideas about them. However, when the child describes these assumptions and thoughts in their mother tongue, this process is known as natural language generation. 

• Natural language

Natural language is the opposite of the natural language creation process.  The process deals with understanding the AI language in the form of data.  For instance, in the above example, if the child is deceived about the stars in the night sky rather than showing them, then it may be interpreted in various ways by the child.  The child may draw a night sky picture based on the child's assumptions. If the child accurately interprets, then natural language understanding is very accurate. 

• Speech recognition

Speech recognition technology is responsible for converting human language into computer language with the help of artificial intelligence. The process is essential as it helps create a bridge between computer-human interaction. Speech recognition technology is beneficial and essential for understanding as it helps computers understand human natural language. This helps the computer perform smoother and faster interactions with humans.  For instance, if any child is asked about their whereabouts, then during human interaction, the child processes the question in their brain and comes up with a relevant response. 

• Machine language

Machine language is another significant technology in the field of artificial intelligence. This technology trains computers to think and learn without human interference.  Machine language makes use of complex algorithms to train the machines.  During training, the machines are provided with uncategorized and categorized data related to a specific field. The computer machine analyzes the data and stores the data for use as a reference in the future. Also, when the machine or computer comes across any data already stirred in the memory, it uses it as a reference to provide appropriate conclusions and responses. 

• Virtual agents

Virtual agents refer to the manifestation of technology, which helps create a digital impersonation of humans on computers.  Virtual agents are beneficial in customer care services and use artificial intelligence, natural language processing, and machine language to understand and provide solutions for customers' grievances. 

• Expert systems

In artificial intelligence, the expert system refers to those computer systems that use already stored data and showcase decision-making abilities similar to humans.  The systems use if-then rules and reasoning ability to make predictions and decisions, which makes the systems very complex.  Expert systems can solve complex problems.

• Decision management 

 Decision management systems depend on artificial intelligence's capabilities to interpret data and provide predictive models. Business organizations use these models to make effective decisions regarding various business operations. Decision management systems are used for different different types of business applications.  This application helps individuals or businesses make automated decisions.  

• Deep learning

Deep learning is a branch of machine learning that extensively uses artificial intelligence and neural networks. During this type of learning, the learning is carried out at different levels, where every level can convert the data into abstract and composite representations. The term deep is used to depict the number of the level at which the computer conducts data interpretation. Deep learning is beneficial and is actively used in fields like news aggregation category-wise, computer vision, automated translations, improving computer experience, and developing Chatbots. 

• Robotic Automation process

Different industries extensively use artificial intelligence to automate human processes, which helps increase the processes' efficiency and reduces the cost of operations. Although manual robots are very efficient and help complete different jobs, they only have the required automation to complete tasks with human interactions. These types of automation are used where it is not beneficial to employ humans. For instance, in those mentioned above, if the child is assumed to be a robot without thinking ability, then human instruction will be required to carry out different operations. The presence of artificial intelligence helps in completing the task on their own without the need for any human interference. 

• Text analytics

Text analytics is the process of analyzing and interpreting text structure. The AI system uses text analytics to learn and understand the structure, intention, and meaning of different texts they come across. These types of systems are generally used in fraud detection and security. An AI-equipped security system can automatically distinguish between different text types without human intervention. This independence of the systems makes the systems very efficient, effective, and faster than human employees. Artificial intelligence is used in different types of applications. For instance, in the above example of the child, he could handle and tackle all the problems independently as he was intelligent enough to understand the situation and interpret the information he was coming across. As a result, he was not dependent on external interference and used his experiences. 

Conclusion

Artificial intelligence systems are very advanced and capable of thoroughly performing complex tasks and are the key to the future. Different industries are extensively using AI to meet the changing needs of their businesses, which were considered problematic in the past. As per various research, artificial intelligence is expected to show widespread growth, and the artificial intelligence market is expected to grow by 190.60 billion by the end of 2025.  Although all the technologies in artificial intelligence are expected to grow, Deep learning is expected to show the most significant CAGR (Compound Annual Growth Rate), with North America holding the central part of this growth.