Applications of AI

Question 1

___ ____ is an “approach to making
repeated decisions that involves
algorithmically finding patterns in data and using these to make recipes that deal correctly with brand new data”

Answer 1

Machine learning

Question 2

• Determine price structure
• Calculate and predict customer lifetime value
• Predicting churn
• Market Basket analysis
• Up/cross selling
• Predict advertising campaign performance
• Marketing Mix
• Lead scoring
• Sales forecasting
• Predict if the user will recommend your product or not

Answer 2

Predictive Analytics

Question 3

1. Data Analysis
2. Demand Forecasting
3. Price Optimization
4. Dynamic Pricing
5. Personalized Pricing
6. Price Sensitivity

Answer 3

Determine Price Structure

Question 4

– Utilizing advanced algorithms to aggregate customer data and
predict CLV accurately.
– Applying sophisticated techniques to analyze multiple variables
and incorporate predictive models.

Answer 4

Machine Learning for CLV Prediction

Question 5

ML and AI techniques offer powerful tools for predicting customer churn in digital marketing. Analyzing vast customer data and identifying patterns can help anticipate ___ ___

Answer 5

Predicting Churn

Question 6

Technique to uncover
product associations frequently purchased together by customers.

Answer 6

Market Basket Analysis

Question 7

Applied to enhance Market Basket Analysis by mining transactional data to discover item associations, enabling personalized recommendations and predictive analytics

Answer 7

Machine Learning:

Question 8

a method that helps sales and marketing teams identify which potential customers are most likely to become customers

Answer 8

Lead scoring

Question 9

Assessing user’s likelihood to recommend your product

Answer 9

Recommendation Prediction

Question 10

Merges computer science, AI, and linguistics. It transforms unstructured language data into structured formats. It powers chatbots, Alexa, Siri,
etc.

Answer 10

Natural Language Processing (NLP)

Question 11

Subfield of NLP emphasizing text and speech meaning. Analyzes syntax and semantics.

Answer 11

Natural Language Understanding (NLU)

Question 12

Enables computers to produce human-like text

Answer 12

Natural Language Generation (NLG)

Question 13

• Adversarial training: Teaching Neural
  Networks to overcome weaknesses.
• Two Networks: “Discriminator” and
  “Generator”.
• Objective: The Discriminator aims for a low error rate, while Generator aims for a high error rate.

Answer 13

GANs

Question 14

Can uncover threats like old
advertisement potentially
damaging

Answer 14

Visual Listening

Question 15

• Optimize conversion rates with images
• Visual data for personalization
• Contextual In-Image Ads
• Facial recognition, Tracking User Attention and Emotions

Answer 15

Computer Vision

Question 16

• This block of code introduces a helper class designed to facilitate the
  image classifier.
• In Python, a class is a custom data type created by the user,
  encompassing both the data and the functions to modify that data.

Answer 16

Helper Class