With Datactive, it is now possible to give a different answer to this question.
In our previous article, we discussed graph analytics which is the future data analysis technology. In this article, we mention the usage areas of this method in more detail.
One of the technologies that have come to the fore with the rapid rise of the big data concept in the last ten years is graph databases.
Artificial intelligence and machine learning are the concepts that we frequently experience both in daily and business life. Since we hear these technologies together most of the time, they are sometimes confused with each other.
In our article about GPT-3, we mentioned an artificial intelligence that can even write poems. While we are trying to comprehend an AI that can compose poetry and interview with historical characters, OpenAI has already developed another variation of the GPT-3.
2020 was quite a difficult year for every sector. During this period, it is hard to clarify the predictions and expectations for the future.
With the data-driven transformation, data analysis methods, must improve themselves to understand and evaluate the exponentially increasing data world. Even if these terms are already used in the sector, they will be heard more frequently in 2021. In this article, we define these terms briefly.
There has recently been a huge technological revolution in artificial intelligence (AI) technology. The most important feature distinguishes this latest technology from its previous versions is its data processing capacity.
“The greatest value of a picture is when it forces us to notice what we never expected to see.”
John W. Tukey
The permanence of companies that do not take advantages of digital in a competitive environment is in serious danger.