Neuro Computing-Based Models of Digital Marketing as a Business Strategy for Bangalore's Startup Founders
T. Ilakkiya, M. Manikandan, Raja Kamal, M. Krishnamoorthi, M. Ramu, P. Venkatesh
Abstract
Large amounts of data are perfect for artificial intelligence. Women are more suited to and capable of doing this activity than males are. The use of AI in digital marketing is rapidly expanding. Predicting user behaviour, search cycles, and other aspects of digital marketing will be lot simpler with the aid of artificial intelligence. Perhaps this will enhance the efficiency of business websites. Using AI, companies may streamline their content creation processes. The actual world may be impacted by corporate marketing. Innovative methods of attracting and maintaining valuable customers via the pooling of resources, the management of digital risks, and the production of new value are the engines that power entrepreneurial marketing. These techniques form the backbone of the value creation process. A semi-structured questionnaire was sent to the proprietors of 272 newly established firms in Bangalore for the purpose of this research. The critical aspects of digital marketing were discovered using a two-layer 6-3-1 neural network model with hyperbolic tangent-purelin topology. Some of these components include being proactive; taking risks; using resources; concentrating on opportunities; increasing efforts; and producing value. The results might be useful for entrepreneurs in Bangalore that are looking to improve their digital marketing strategies.