Overview
Artificial intelligence is a field of science concerned with building computers and machines that can
reason, learn, and act in such a way that would normally require human intelligence or that involves data whose scale exceeds what humans can analyze.
A machine 🤖
mimics “cognitive functions“
that humans associate with other human minds 🧠
such as “learning” and “problem solving
Source: Russell & Norvig, 2009
Source: Google
Source: Google
Source: Google
Source: Google
Source: Google
Use cases for classification models:
Lead scoring
Offer/contact optimization
Propensity models
Cross-sell/upsell
Engagement analysis
Churn models
Next-best-action models
Loyality models
Customer segmentation with cluster analysis
Use cases for association analysis:
Personalization of marketing content
Recommendations (videos, products, …)
Brand monitoring (sentiment analysis)
Voice of the customer analysis (text mining)
📚 Required reading: Sridharan & Purcell (2015)
📚 Required reading: Sridharan & Purcell (2015)
Generation of
Text (e.g. social media content, ads, SEO, …)
Images (e.g. for ads, social media, …)
Jasper: generative AI platform which creates marketing content
DALL·E 2 is an AI system that can create realistic images and art from a description in natural language.
https://www.cosmopolitan.com/lifestyle/a40314356/dall-e-2-artificial-intelligence-cover/
Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species.
Craiyon, formerly DALL·E mini, is an AI model that can draw images from any text prompt!
Jan Kirenz