It has been a long time since major digital transformations have significantly influenced our society, modifying the entire human experience even in its simplest aspects, and radically transforming our culture, our communication and our life in general, to the point where we see artificial intelligence in business.
After all, with regard to our way of working, it could not be different. In the field of business management, we realize that the scenario is progressively taken over by virtual platforms, electronic documents and all sorts of technological tools.
They take the work process to a new level of modernity – especially with the recent arrival of the massive use of AI in the corporate environment.
The truth that is revealed is that those who do not follow this trend will certainly be left behind.
As you read this article, you will be able to understand everything you need to know about the use of artificial intelligence in companies. Let's go?
And, after all, what is artificial intelligence?
When we talk about artificial intelligence, the terms Machine Learning and Deep Learning also appear frequently – it is not uncommon for confusion to arise between their meanings. And even though the three concepts are closely related, there are some fundamental differences between their definitions.
We can define artificial intelligence, also called AI or AI, as a field of science that serves the purpose of studying and developing intelligent machines and systems in order to carry out human activities with efficiency and autonomy.
In practice, we realize that artificial intelligence has long been embedded in our lives: in the field of robotics, in credit simulations in banking applications, in video games, in virtual purchases, web searches and many other digital resources that we use in our daily.
When we talk about Machine Learning and Deep Learning, however, we enter specific fields in this field, which take our experience with artificial intelligence to a new level.
Machine Learning
We can define the concept of Machine Learning, or machine learning, as a subcategory of artificial intelligence that allows more precision in software applications.
More than enabling machines to perform activities like a human being, here they are improved in a way that they learn gradually, according to the information presented to them.
Therefore, Machine Learning is based on the creation of intelligent algorithms capable of reading, understanding and interpreting data, extracting different answers through statistical analysis.
Usually, Machine Learning takes place under the supervision of humans, who feed the machines with the necessary information and monitor the results.
However, there are cases in which these mechanisms work 100% autonomously, without human supervision. This is where the concept of Deep Learning comes in.
Deep Learning
Deep Learning, or deep learning, is a subtype of Machine Learning that automates predictive analysis, simulating the way humans learn through non-linear mechanisms (different from non-autonomous Machine Learning systems) of understanding information – the which enables more complex and subjective analyses.
As the system gathers data in a series of hierarchically linked statistical models, the understanding of the most different contexts becomes increasingly precise and accurate.
Thus, we can conclude that there is a hierarchical relationship between the three concepts: while artificial intelligence refers to the use of technology to allow machines to perform human activities efficiently, Machine Learning refers to any and all AI improvement practices that involve the use of algorithms for data understanding purposes.
Therefore, Deep Learning is a specific type of Machine Learning that consists of practices that involve only algorithms, without the intermediary of any kind of human agent.
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How has artificial intelligence been applied in companies?
In the business world, artificial intelligence has been widely used as a tool Intelligence in boosting productivity and achieving results, both by large corporations and by small business.
Below, we highlight the main artificial intelligence applications used by companies:
Chatbots
Chatbots are intelligent communication systems capable of recognizing information in order to converse with human beings, reproducing their behavior and language in a way that is both natural and pre-programmed.
These systems are easily integrated with databases and other tools. Thus, simple administrative processes involving registration, consultation and updating of information are optimized through automation, ensuring an improved experience for the customer.
Security mechanisms
Artificial intelligence represents a powerful security tool, and this occurs both in the digital and in the physical world.
A good example of this type of application at a digital level is Internet Banking. By linking artificial intelligence to the servers, virtual attack attempts can be identified much faster than a person would – not to mention the efficiency of the AI in analyzing the different forms of attack and creating ways to neutralize them. them.
On the other hand, in the physical sphere, we have the example of intelligent traffic cameras and facial recognition services, which are extremely useful in tracking criminals and offenders.
Smart Recruitment
The use of artificial intelligence in corporate HR has represented a significant transformation in recruitment processes. This is because the tool is capable of handling a large volume of resumes and information, filtering out the most relevant ones for the vacancy in question, so as to take much less time to carry out a hiring.
In addition, technology allows decision-making to be fully aligned with the company's standards, so that the recruiter's personal impression becomes less relevant.
Virtual Assistants
Virtual assistants are extremely versatile resources by nature, due to their various functionalities, which include voice recognition, understanding demands and fulfilling orders.
For this reason, several companies have been implementing virtual assistants in their routine activities, since these tools operate as an efficient fusion between an intelligent agenda and a virtual secretary.
Process automation and software optimization
The implementation of artificial intelligence in companies has also been highlighted in terms of automation and optimization. A good example is the improvement of the already widely used ERP (Enterprise Resource Planning) through I-ERPs – nothing more than intelligent versions of the well-known resource management systems.
Able to learn operational and behavioral patterns as they are used, I-ERPs function as virtual advisors fully aligned with company data and capable of rapidly developing solutions and responses.
How do the benefits of artificial intelligence positively impact business?
As you can already see, the benefits of applying artificial intelligence in management models companies represent a series of positive impacts on business. Next, we'll talk a little more about it.
Automation and efficiency
The introduction of artificial intelligence in work processes has raised the levels of automation in companies, especially in the telecommunications, transport, consumer goods and services sectors.
By integrating artificial intelligence into the system, processes become more efficient and agile, so that redundant activities are significantly reduced – or even eliminated.
Cost reduction
Within companies, for each activity there is, of course, a cost. Although this relationship is necessary, it is a fact that investment in artificial intelligence can significantly reduce expenses, especially those related to repetitive activities that are avoided.
Indeed, artificial intelligence not only helps to reduce operating costs, but also favors solid long-term savings that strengthen the company's scalability.
Better decision making
Artificial intelligence is able to create data consistency, organizing, interpreting and quantifying information in order to offer fast and accurate answers, essential to solve problems and perform a success management.
Satisfied team
Artificial intelligence provides convenience in the work routine. While the machine performs the most time-consuming tasks, the team is free to carry out more productive activities at a strategic level – thus being an essential factor of productivity and engagement.
high customization
The use of artificial intelligence simplifies the service customization process. The AI itself is in charge of analyzing the customer's profile in order to offer the best options, such as offers, research tools and other solutions in line with their characteristics and needs.
Failure Reduction
Since a robot does not feel the effects of exhaustion caused by work activity, the excess of continuous information does not affect its performance – unlike what happens to a human being. Therefore, the use of artificial intelligence in companies represents a unique tool in reducing operational failures.
customer experience
When artificial intelligence is used in the company, it is not just among your team that satisfaction levels increase. As all the above mentioned factors represent improvements in customer service of the service provided, this is reflected in the customer's opinion, as well as in their perception of the brand.
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