The Use of Artificial Intelligence in Digital Marketing Competitive Strategies and Tactics
Saurabh Bhattacharya, Babita Singla · Advances in marketing, customer relationship management, and e-services book series · 2023
A variety of applications on handsets, including automatic speech identification, utilize “machine learning,” including internet search engines, spam-filtering mail servers, portals that offer tailored advice, a payment gateway that looks for suspicious items, and online platforms that exert pressure. The structure of the computing world provided for the collection of both contents and the commands needed to alter such material. These early systems were primarily built to conduct mathematical tasks. This reached a stage in which the machine began to interpret the information using a linear equation of an actual framework. The machine had only been obeying commands and had no capacity for learning. Its following phase has been to come up with a series of guidelines that might enable the algorithm to draw its unique conclusions using huge quantities of information and apply such conclusions to categorize and anticipate future information. The discipline of intelligent machines, which is jointly referred to as machine learning, is born as a result of “artificial intelligence.”