MONDAY, JULY 3 (09:00 – 12:00)
Introduction to Artificial Intelligence Systems for Business
Defining Human-Centric AI
Applications of AI Systems in Business Tasks: overview based on type of processes and ethical implications
Applications of Generative AI in Creative Tasks and Implications on Business Creativity
Business case studies
Applications of AI systems in Retail
Applications of AI systems in Government
Applications of AI systems in Societal Challenges
TUESDAY, JULY 4 (09:00 – 12:00)
Supervised Machine Learning Models and their Application to Business
- Linear and Logistic Regression
- Decision Tree, Gradient Boosting, Random Forest
- Applications in Sales and Marketing Campaigns
- Artificial Neural Networks
- Application in Fraud Detection
- Supervised Vector Machine
- Applications in Customer Acquisition
- Factorisation Machines
- Applications in Recommender Systems
Forecasting Models
Introduction to Time Series
Stationary Time Series
Trend Models
Seasonal Models
Models with Explanatory Variables
Business Cases in Replenishment, Sales, and Hospitality
WEDNESDAY, JULY 5 (09:00 – 12:00)
Optimisation Models
Introduction to Mathematical Optimisation
Linear Programming
Nonlinear Programming
Integer and Mixed Linear Programming
Decomposition algorithm
Quadratic programming solution algorithm
Business Applications in Workforce Planning, Call Centre, and Manufacturing
Network Science
- Network Analysis
- Subgraphs
- Connected Components, Bi-Connected Components, Reach, Core, and Communities
- Centralities
- Degree, Influence, Closeness, Betweenness, Eigenvector, PageRank, Hub, and Authority.
- Business Applications in Customer Influence and Fraud Detection
- Network Optimisation
- Cycle, Clique, Path, Shortest Path, Transitive Closure, Minimum Cut, Minimum-Cost Network Flow, Maximum Flow, Minimum Spanning Tree, Linear Assignment, Topological Sort, Travelling Salesman Problem, and Vehicle Routing Problem.
- Business Applications in Supply Chain, Public Transportation, and Routing
THURSDAY, JULY 6 (09:00 – 12:00)
Ethics in AI
Transparency and Accountability
Explainability and Interpretability
Fairness and Bias
Privacy and Security
Trust and Algorithm Aversion
Robotic services
FRIDAY, JULY 7 (09:00 – 12:00)
Deep Learning – Computer Vision
Introduction to Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks
Tuning a Deep Neural Network
Advanced Topics: Transfer Learning and
Reinforcement Learning
Business Applications in Default Detection for
Manufacturing
Natural Language Processing and its Application in Marketing
Document Summarisation
Text Classification: Topics, Categories, Clusters
Sentiment Analysis
Speech Recognition
Neural Machine Translation
Ai and computational creativity: overview
Business Applications in Customer Service
VISITS:
Cultural event on Monday afternoon, July 3
Company visits on Tuesday afternoon, July 4
Creative Lab on Wednesday afternoon, July 5
Company visits on Thursday afternoon, July 6
The programme schedule is subject to modification
