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https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15380
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DC Field | Value | Language |
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dc.contributor.author | Priya, Santoshi | - |
dc.contributor.author | Ramakrishna, S | - |
dc.date.accessioned | 2024-04-20T04:05:34Z | - |
dc.date.available | 2024-04-20T04:05:34Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15380 | - |
dc.description.abstract | A computer-assisted analytical course that seeks to create automated systems that can be referred to as intelligent, Artificial Intelligence (AI) seeks to do this through the use of computers. It is also possible to think of it as the manifestation of human intelligence in the form of machines. AI can be broken down into two distinct categories: strong AI and weak AI. The first type, which is also known as artificial general intelligence, describes a machine or system that possesses logic, mindfulness, and sensory, and it possesses intelligence in multiple domains as opposed to intelligence in just one. Machines that have intelligence in a specific field are referred to as having artificial narrow intelligence, which is another name for this type of artificial intelligence. The applications of artificial intelligence make use of technology such as robotics, computer vision, natural language processing, speech recognition, machine learning, and robotics. These technologies make a variety of business opportunities available to companies. “Deep learning is believed to be one of the branches of machine learning as well as a strategy that can be used to better comprehend machine learning.” [1] “Machine learning is a technique that can be used to create artificial intelligence.” Deep learning places a significant amount of attention on computer programmes that are guided by the structure and operations carried out by the human brain. The advent of new technologies has had a huge impact not just on the marketing industry but also on every other industry as well, and this trend is expected to dramatically accelerate in the years to come. It is beyond reasonable doubt that AI has improved the performance of marketing in a variety of distinct ways. It is anticipated that artificial intelligence will increase the influence in the not-too-distant future; for instance, robots will be utilised as a substitute for salespeople, and websites will be automatically updated and reformatted based on eye tracking data. As a result of the advancements in AI, there is no question that the study on marketing will be redirected and eventually rendered irrelevant as new marketing trends arise. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Alliance School of Business, Alliance University | en_US |
dc.relation.ispartofseries | 2021MMBA07ASB235 | - |
dc.subject | Artificial Intelligence (AI) | en_US |
dc.subject | Marketing Strategies | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | Deep Learning | en_US |
dc.title | Study On How AI is Influencing in Marketing Strategies: An Analytical Study | en_US |
dc.type | Other | en_US |
Appears in Collections: | Dissertations - Alliance School of Business |
Files in This Item:
File | Size | Format | |
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2021MMBA07ASB235.pdf Restricted Access | 9.06 MB | Adobe PDF | View/Open Request a copy |
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