MAL57:23 | Page 84

Artificial Intelligence make the Marketer become obsolete ? My verdict is the mark-timing Marketer will be replaced by AI , while the proactive Marketer will be propelled by AI . propelled AI to new heights .
AI & MARKETING

AI & Marketing : Will The Marketer Become Obsolete ?

By Sam K . Mwangi

As a marketer , AI is now taking over a lot of the tasks and functions that have shaped our careers for so long . What are we to make of it ? Let ’ s have a deep look at AI ’ s history , progression , current state and projections . First and foremost : Did you know that AI started in the 1950s ?

The Birth of AI : 1950s-1960s
1950 : in 1950 , Alan Turing introduced the idea of the " Turing Test ," a measure of a machine ' s ability to exhibit intelligent behavior similar to that of a human .
1956 : Considered The Birth of AI , the Dartmouth Workshop in 1956 was a 2-month gathering of top scientists aimed to explore the possibilities of creating machines that could simulate human intelligence .
1960s : Researchers created chess-playing programs like IBM ' s " IBM 704 " that marked the beginning of AI in games .
AI Winter : 1970s-1980s
1970s : This was a period of limited progress , as AI research faced challenges , as early systems struggled to achieve their lofty goals . This led to skepticism and reduced funding , culminating in the " AI winter ".
1980s : One notable development during this period was the creation of expert systems . These AI programs , like Dendral and MYCIN , were designed to mimic human expertise in specific domains . They found applications in fields like medicine and finance .
The Renaissance of AI : 1990s-Early 2000s
1990s onwards : This period saw the renaissance of AI , thanks to advancements in machine learning . Researchers focused on developing algorithms that allowed systems to learn from data . The creation of decision trees , neural networks , and support vector machines marked significant progress .
Early 2000s onwards : AI began to play a prominent role in the gaming industry , where characters ' behaviors and decisionmaking relied on AI algorithms to make games more engaging .
Modern AI : Mid 2000s-Present Day
Big Data and Computational Power : The explosion of data and the availability of powerful hardware , such as GPUs , have

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Artificial Intelligence make the Marketer become obsolete ? My verdict is the mark-timing Marketer will be replaced by AI , while the proactive Marketer will be propelled by AI . propelled AI to new heights .
Deep Learning : Deep learning , a subset of machine learning , gained significant prominence . It ' s the technology behind breakthroughs in areas like image recognition , natural language processing , and autonomous vehicles .
Applications of AI
AI has made its way into numerous aspects of our lives . From virtual assistants like Siri and Google Assistant to recommendation systems on platforms like Netflix and Amazon , AI is now a permanent part of our daily routines .
AI Ethics and Regulation : The rise of AI has also raised concerns about ethics and regulation . Issues surrounding privacy , bias , and the responsible use of AI have prompted discussions and the development of ethical guidelines .
AI and Healthcare : AI is transforming healthcare through applications like image analysis for diagnosing diseases , predicting patient outcomes , and optimizing treatment plans .
AI and Autonomous Vehicles : Companies like Tesla and Waymo are developing selfdriving cars , which rely heavily on AI for perception and decision-making .
AI in Marketing : AI is playing a significant role in marketing by automating tasks , personalizing content , and improving ad targeting .
What are the types of AI ?
A ). Narrow AI ( Weak AI ): Specialized
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