How to generate sales using Artificial Intelligence?

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Artificial Intelligence has become a resource used intensively in everyday life, from when performing a function on a smartphone to when making an online purchase.

Technology allows us to collect, organize and analyze data, which has become essential for any decision-making process. However, many people still have doubts about how it works and how it can actually be applied in different business segments.

Continue reading and understand more about this subject!!

What is Artificial Intelligence?
Firstly, Artificial Intelligence (AI) is a branch of computer science that aims to develop devices that simulate the human capacity to reason, perceive, make decisions and solve problems.

The term Artificial Intelligence is not as recent as it seems. In 1956, Professor John McCarthy created the expression to refer to the ability of machines to solve problems that, until then, could only be solved by humans.

Therefore, the concept of AI remains the same: the Italy telegram data viability of machines to think like humans, developing the ability to learn, reason, perceive, deliberate and decide logically about facts. Another important aspect of AI is that, due to its ability to learn, it needs to be constantly fed so that it can continue to evolve, just like a person.

In this sense, a classic example of Artificial Intelligence is Google itself. Every day we open the website, enter some keywords to search and receive a list of several websites that, according to Google, are the best to answer our question, all in less than a second. This happens thanks to Google's robots, which search through trillions of pages on the web and select those that have some relation to the search term.

Facebook also uses Artificial Intelligence. In 2019, for example, 6 billion accounts were taken down with the help of bots. The machine learning system eliminated fake accounts and also checks suspicious accounts that try to be created, blocking them before they can enter the social network. This is a way the platform found to fight against fake profiles and spam.



What technologies enable AI to function?
Machine Learning in Artificial Intelligence
The first pillar of AI is Machine Learning, through which computers become capable of learning and evolving. In technology, what occurs is the logical processing of data and the identification of patterns that generate intelligence. Without Machine Learning, what we understand as Artificial Intelligence would not come to fruition.

Currently, for example, technology is widely used by Submarino to make more personalized and relevant recommendations to customers. In other words, the system works as follows: the machine monitors all customer actions on the website and identifies patterns, such as when customers who viewed product X also show interest in Y. Thus, when a user makes the first search, the system suggests the other product, as it recognizes that there is a relationship between the searches.



Deep Learning in Artificial Intelligence
First of all, Deep Learning is a special type of machine learning. It involves artificial neural networks with several layers of abstraction, and is applied to pattern recognition and classification applications supported by data sets. Therefore, the technology uses more sophisticated tools that make the results more accurate, so Deep Learning can understand human thoughts in greater detail than Machine Learning would be able to.



Natural Language Processing (NLP) in Artificial Intelligence
Natural Language Processing aims to study and attempt to reproduce development processes linked to the functioning of human language. To do so, it employs software, programming and other solutions.

Through NLP, machines can better understand texts, which involves recognizing context, extracting information, developing summaries, etc. Likewise, it is possible to compose texts based on data obtained by computers. NLP can be used in areas such as customer service and the production of corporate reports.



How to generate sales using Artificial Intelligence?
Statistical analysis of data
CRMs, marketing software, and prospecting tools generate a series of data. Over time, this data accumulates and can serve as a basis for optimizing processes throughout the sales funnel, by cross-referencing data and results obtained.

In other words, this data analysis can reveal, for example, which are the highest lead win rates according to the time taken to make contact after a hand is raised. By performing this type of analysis, the software can suggest the type of activity and the most appropriate time to perform it, as well as prioritizing activities with leads.



Predictability
AI applications include predicting markets, behaviors, and processes through large-scale data analysis that identifies patterns and establishes predictions based on past events. Through predictive analysis using Machine Learning and Artificial Intelligence, it is possible to consider infinite data and scenarios to identify the most likely events, aiding in more effective and strategic decision-making.