Applications of Artificial Intelligence, technology that adds intelligence to the computer to enable it to perform tasks autonomously, is increasingly inserted in technological innovations.
The trend is for exponential growth in its adoption in the coming years with the arrival of 5G and the expansion of edge computing networks — providing the necessary boost for cloud computing to continue evolving.
An interesting point about the use of technology is its application in businesses of the most diverse segments. Whether you are working in the Finance sector, running a teaching network, or managing e-commerce, you can take advantage of all the opportunities it offers.
Are you curious about how to adopt it in your business? To inspire you, we have listed below five Artificial Intelligence applications impacting the user experience and, of course, the results of companies. Check out!
As technology advances and is applied by companies, there is a counterpoint: the evolution of cyber threats. Sophisticated and much more harmful nowadays, attacks like DDoS and Hijacking, always executed in real-time, require monitoring at all times.
Combating this type of risk is not something tangible. However, mitigation can (and should) be carried out to curb the cybercriminal’s action or, if the problem has taken on more significant proportions, to mitigate the damage.
Therefore, 24/7 monitoring is essential; more than that, it needs to be done with the help of advanced technologies. Using algorithms, artificial intelligence enters the scene to identify suspicious or abnormal behavior.
When detection happens, the security team at the ready can react to the event as soon as it manifests itself. Due to the high degree of effectiveness, the tendency is for all software-based security mechanisms to operate using Artificial Intelligence.
Supply chain (or supply chain) is an activity aimed at the logistics sector. It consists of managing materials and products, covering the end-to-end process — from manufacturing to delivery of the item to the customer. Examples:
acquisition of inputs;
Could the above activities not be optimized if you insert Artificial Intelligence and thus automate everything possible and feasible? Companies in the logistics sector not only understand the value of this but are already benefiting from the advantages offered by technology.
Imagine a product storage warehouse in a distribution center. Artificial Intelligence can be applied to virtually all elements that contribute to the progress of the process: vehicles, packaging, storage, thermometer, mapping, control, etc.
For example, sensors can issue notifications of inappropriate temperatures for a package. With this, an autonomous vehicle follows the best route to reach it, pick it up, and move it from position to the most favorable space.
Improving the user experience is a common goal among all companies operating on the web. From the consumer’s point of view, customer service usually defines satisfaction most of the time. Therefore, improving yourself in this regard is an essential attitude to conquer (and retain) customers. So how about applying Artificial Intelligence and ensuring excellent results?
In recent years, many companies have adopted, for example, the chatbot. It is a type of robot capable of providing service with intelligence to the point of recognizing customer credentials and data, as well as serving them in a way that is very similar to what a human being does, but with availability 24 hours a day and more.
The benefits of using robots to serve customers are not limited to cost reduction but also include taking advantage of the fees of each employee, who is no longer overloaded with activity and is dedicated to the functions that must add value to the business.
With the expansion of fintech, which are technology startups focused on finance, Artificial Intelligence was boosted to automate a series of operations relevant to the client and, simultaneously, costly when assigned to a professional.
A typical example of this is investment advice provided by a robot. The practice allows the reduction of talent costs, such as agents and investment managers, making room for a mechanism that is available 24 hours a day and performs accurate analyzes based on market facts.
Therefore, if you work (or plan to work) in the financial sector, know that Artificial Intelligence can be leveraged in several ways. Although some of them no longer represent a competitive differential, innovations should be considered.
Predictive analytics are predictions based on data, information, and trends, among other factors, which allow companies to make more intelligent and more accurate decisions, like the robot agents we mentioned in the previous topic.
Artificial Intelligence is also applicable in this sense: as there is a wide range of things that today are done using technological resources, the computers themselves can identify, for example, whether a component of the IT infrastructure requires maintenance or how a particular user is browsing the products on the site.
Two types of cases that are well-known in the market are medical diagnoses which, through data analysis, make it possible to predict illnesses and identify the most appropriate solutions. Another scenario is played by on-demand media providers, which collect customer information and, with this, increase the efficiency of recommendations on platforms.