Difference between revisions of "Artificial Intelligence and Digital Marketing"

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'''Artificial Intelligence''' has been complementing traditional marketing techniques for almost 30 years now. Typical mediums for traditional marketing are newspapers, radio stations, and  commercials. Digital marketing on the other hand only needs the web to display a vast amount of different advertisements. While the mediums of communication may differ greatly, the most important difference is that digital marketing leverages concepts such as machine learning, neural networks, and other technologies to develop its own algorithms. During recent years we have experienced an uptick in the amount of industries and major corporations utilizing and researching AI in innovative ways. Inevitably, this rise in applications has caused a surge of questioning in regards to the ethics, purpose, and litigation surrounding Artificial Intelligence and Marketing.
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==History==
 
==History==
""Web 1.0""
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===Web 1.0===
 
Web 1.0!
 
Web 1.0!
""Web 2.0""
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===Web 2.0===
 
Web 2.0!
 
Web 2.0!
""Growth of the Digital Marketing Industry""
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===Growth of the Digital Marketing Industry===
 
Growth!
 
Growth!
  
==AI Development and Integration into Digital Marketing==
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==AI Development in Recent Years==
""Cookies""
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===Examples===
""Digital Advertising Auctions""
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==Integration into Digital Marketing==
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===Cookies===
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===Examples===
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====Digital Advertising Auctions====
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====Personalized Ads====
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====Micro-Influencers====
  
 
==Ethical Concerns==
 
==Ethical Concerns==
""Implications of Cookies""
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===Implications of Cookies===
""Selling data -> Privacy Concerns""
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====Privacy Concerns====
""Exclusion of Underrepresented Groups""
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====Selling User Data====
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===Exclusion of Underrepresented Groups===
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==Government Involvement==
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==References==

Revision as of 23:54, 26 January 2022

Artificial Intelligence has been complementing traditional marketing techniques for almost 30 years now. Typical mediums for traditional marketing are newspapers, radio stations, and commercials. Digital marketing on the other hand only needs the web to display a vast amount of different advertisements. While the mediums of communication may differ greatly, the most important difference is that digital marketing leverages concepts such as machine learning, neural networks, and other technologies to develop its own algorithms. During recent years we have experienced an uptick in the amount of industries and major corporations utilizing and researching AI in innovative ways. Inevitably, this rise in applications has caused a surge of questioning in regards to the ethics, purpose, and litigation surrounding Artificial Intelligence and Marketing.

History

Web 1.0

Web 1.0!

Web 2.0

Web 2.0!

Growth of the Digital Marketing Industry

Growth!

AI Development in Recent Years

Examples

Integration into Digital Marketing

Cookies

Examples

Digital Advertising Auctions

Personalized Ads

Micro-Influencers

Ethical Concerns

Implications of Cookies

Privacy Concerns

Selling User Data

Exclusion of Underrepresented Groups

Government Involvement

References