The amount of data generated in the world is huge and doubles every two years. This is information from IDC consulting, which points out that by 2020 we will have 350 zettabytes of data – equivalent to 35 trillion gigabytes.

This large amount of information arises because it is not only humans who generate it. In fact, the machines themselves collect bank, geographic, weather, and production data. Of course, this feature brings several benefits to the corporate world, since applying Artificial Intelligence to companies allows different advantages, such as the ones below. Check out!

Automation of learning and information discovery through data

AI automates operations and brings valuable insights that companies use to gain competitive advantage. It is important to highlight that this process is geared towards the best performance of machines, which can process a large volume of data frequently, giving more reliability in activities provided the human being configure the system properly.

Intelligence aggregation to existing products

Companies can use AI as an individual application. However, it serves more to enhance existing products, which now have new capabilities. In this case, conversation platforms, bots, automation and smart machines are complemented with relevant data. The result is improved technologies in different environments.

Automated Learning Made by Algorithms

The idea is to let the data itself execute the programming. This happens by identifying the structure, regularities and patterns, which lead to machine learning and, consequently, to the acquisition of a skill. From this, the algorithm can make predictions and classify information to signal what is relevant to the business.

Further analysis of the data

The increased processing capacity, facilitated by new technologies, leads AI to make a more thorough assessment of data, including data that is in principle hidden. This process is facilitated by the help of Big Data and machine learning. With these tools, the machine is trained to use deep learning models, which make analysis accuracy even greater.

Increased analysis accuracy

The hits in the analyzes performed by artificial intelligence are facilitated by neural networks. If that was impossible until a few years ago, it has now become fully viable – and there is still room to increase accuracy.

This issue is verified, for example, in Google search. However, it is already used in other corporate contexts, such as the doctor, who benefits from deep learning, object recognition and image classification to detect the presence of cancer.

Getting the most information

The algorithms collect data, which is interpreted from the application of artificial intelligence in companies. From this, companies obtain relevant information, which generates competitive advantage. This is verified when practices are similar across different businesses. In this case, those with the best insights have a greater chance of standing out.