In 1962, Robert Nealey, one of the world’s leading experts in the game of checkers, fac a challenge never seen before: a game against a computer, the IBM 7094. Few expect the final result: that archaic computer was able to defeat the great champion of a game that involves putting a strategy into practice. It was from that event and its outcome that Arthur Samuel, an IBM employee, coin the term “machine learning.” With it, he referr to the use of data and algorithms by machines to replicate the way in which humans learn.
Today machine learning
In marketing is one of the most cutting-ge strategies, but with certain adjustments.
More than 60 years have pass and in this time there has been an unimaginable leap in technology. Machine learning is today a fundamental branch of artificial intelligence and its ability to learn patterns and make decisions offers it a unique capacity for improvement in marketing strategies.
At a time when users are emitting a huge amount of data link to their digital behavior, machine learning is a unique ally for delving deeper into the beha greece telegram data vior of potential consumers and establishing personaliz campaigns bas on the nes of each one of them.
What are the keys to the
relationship between machine learning and marketing?
Not long ago we point out that automation, personalization and artificial intelligence were emerging as the main concepts in the changes in therefore, marketing work on social online advertising and also in content marketing and SEO in 2024. machine learning to optimize the processes to which they are link within the bw lists sector.
Because the use of machine learning technologies allows data to be process, providing solutions in an agile and automat way .