The goal of AI is to significantly enhance human capabilities and contributions. That makes it a very valuable business asset.
In simple terms, artificial intelligence (AI) refers to systems or machines that mimic human intelligence to perform tasks and that have the ability to iterative improve on the information they collect.
AI has become an umbrella term for applications that perform complex tasks that previously required human input, such as communicating online with customers or playing chess. The term is often used interchangeably with its sub fields, which include autonomous learning and deep learning. However, there are certain differences. For example, autonomous learning focuses on building systems that learn or improve their performance based on the data they consume. It is important to note that although all autonomous learning is AI, not all AI is autonomous learning.
The fundamental principle of AI is to replicate, and then exceed, the way humans perceive and react to the world. It is fast becoming the main foundation of innovation.
What is artificial intelligence?
Are we aware of the challenges and main applications of Artificial Intelligence?
Long ago it left the spectrum of science fiction to sneak into our lives and, although still in a very early phase, it is called to lead a revolution comparable to that generated by the Internet.
Smart machines mimic the cognitive functions of humans Smart machines mimic the cognitive functions of humans.
Artificial Intelligence (AI) is the combination of algorithms proposed with the purpose of creating machines that have the same capabilities as humans. A technology that is still distant and mysterious to us, but that for a few years has been present in our daily lives at all hours.
Types of Artificial Intelligence:
- Systems that think like humans
- They automate activities like decision making, problem solving, and learning. An example is artificial neural networks.
- Systems that act like humans
- These are computers that perform tasks similar to how people do. This is the case of robots.
- Systems that think rationally
- They try to emulate the rational logical thinking of humans, that is, they investigate how to ensure that machines can perceive, reason and act accordingly. Expert systems are included in this group.
- Systems that act rationally
- They are those who try to rationally imitate human behavior, like intelligent agents.
- Main applications of Artificial Intelligence
- Virtual personal assistants
- We refer to interactive chatbots that can suggest products, restaurants, hotels, services, shows, according to our search history.
- Finance
- Smart technologies can help banks detect fraud, predict market patterns, and advise their clients on transactions.
- Education
- It lets you know if a student is about to cancel their registration, suggest new courses or create personalized offers to optimize learning.
- Commercial
- It makes it possible to make sales forecasts and choose the right product to recommend it to the customer.
- HEALTH
- Data collection generates patterns that help identify genetic factors that are susceptible to developing a disease.
- Logistics and Transportation
- It will be useful when avoiding collisions or traffic jams and also to optimize traffic. Tesla has developed a system thanks to which, when one of its cars travels a route for the first time, it shares the information with the rest.
- Agricultural
- Specific platforms that, through predictive analytics, improve agricultural yields and warn of adverse environmental impacts.