1
Q
What are the 8 cluster
A
- Memory and computational logic
- Decision-making and cognitive processes
- Neural networks
- Machine learning and linguistic analysis
- Social media text mining
- Social media content analytics
- Technology acceptance and adoption
- Big data and robots
2
Q
Memory and computational logic
A
- development of algorithms and computational systems that replicate human memory and logical processes
- essential for understanding how machines can mimic human though processes and store information efficiently
3
Q
Memory and computational logic marketing
A
- develop personalized marketing strategies
- recommender systems on e-platforms use algorithm to remember customer preferences and past behavior to suggest products
-> Amazon to give promotion for specific product based on past buying behavior of consumer
4
Q
Decision Making and cognitive processes
A
- Examines how AI can replicate human decision making processes and cognitive functions
- understands how brain processes information and makes decisions
5
Q
Decision making and cognitive processes marketing
A
- predicting consumer choices and optimizing marketing strategies
- can forecast which products are likely to be popular during a certain period
Example:
Target use it to predict shopping pattern and manage inventory especially during holidays
6
Q
Neural networks
A
- neural networks are computational models inspired by the human brain structure and functions
Used for pattern recognition and learning from data
7
Q
Neural networks marketing
A
- used for image and voice recognition in marketing
- important for applications like visual search where consumers can search for products using images
Example
Pinterests visual search for products to buy
8
Q
Machine learning and linguistic analysis
A
- use of machine learning techniques to analyze and interpret language
- involves natural language processing to understand and generate human language
9
Q
Machine learning and linguistic analysis marketing
A
- Used in sentiment analysis in marketing to measure consumer opinions on social media
- use data to adjust their strategies based on consumer sentiment
Example
Coca-cola uses it for their marketing strategies
10
Q
Social media text mining
A
- how user generated content on social media can be mined for insights
- involves extracting useful information from text data
11
Q
Social media text mining marketing
A
- helps to understand tends and consumer preferences by analyzing social media posts, reviews and feedback
Example: Nike to analyze customer feedback
12
Q
Social media content analytics
A
- analysis of social media content to get useful insights
- involves measuring engagement, reach and effectiveness of social media campaigns
13
Q
Social media content analytics marketing
A
- understand which type of content resonates with their audience and why
- can guide creation and marketing strategies
Example
Beauty brand knows which video receives highest engagement and boost sales
14
Q
Technology acceptance and adoption
A
- explores the factor that influence acceptance and adoption of new technologies by consumers
- examines psychological and social factors that affect technology use
15
Q
Technology acceptance and adoption marketing
A
- can help design more effective digital marketing campaigns and introduce new technologies like AR and VR to enhance consumer experience
Example
Sephoras virtual artist app where consumers try on makeup virtually
16
Q
Big Data and robots
A
- looks at role of big data and robots in marketing
- big data involves analyzing large datasets to uncover patterns and trends
- robots can automate tasks
17
Q
Big Data and robots marketing
A
- insight into consumer behavior
- robots can enhance customer service and operational efficiency
Example:
Amazon uses robots in warehouse to process orders efficiently and use big data to personalize shopping experience
