With this technology, logical processing of data and

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MARKET INTELLIGENCE Technologies Enabling AI Functionality AI is composed of code and data, with the former responsible for reading and interpreting the latter. However, AI is more than just data analysis. To fulfill a complex plethora of commands that can mimic humans, it relies on several technologies. Machine Learning The first pillar of AI is Machine Learning. This is where computers evolve and become capable of learning.


Identification of patterns that generate intelligence take place. Without Machine Learning, what tunisia telegram number list we understand as AI would not materialize. Today, for example, the technology is used extensively by Amazon to make more personalized and relevant recommendations to customers. The system works as follows: the machine monitors all customer actions on a website and identifies patterns. Actions such as when customers who have seen product X also show interest in Y are great examples.


So, when a user does the first search, the system recommends the other product because it identifies a relationship between the searches. In Machine Learning, these patterns are identified in infinite webs so that there are thousands of points of intersection consisting of connections between information, enabling intelligence on a large scale. Deep Learning Another essential concept for the achievement of today’s AI is Deep Learning. This technology is a deeper version of Machine Learning, making it more intelligent and complex.