IBE850 Generative AI, Text Mining, and Computer Vision for Business Efficiency (Spring 2027)

This course provides an in-depth exploration of how advanced technologies—Generative AI, Text Mining, and Computer Vision—can be applied to enhance management efficiency across various industries. Participants will learn how to leverage these cutting-edge tools to automate processes, extract valuable insights from unstructured data, and improve decision-making, ultimately optimizing business operations.

Key Topics:

• Introduction to Generative AI, Text Mining, and Computer Vision
• Generative AI for Management Efficiency
• Text Mining and Natural Language Processing (NLP)
• Computer Vision for Business Optimization
• Integrating AI Solutions for Management Efficiency
• Applied Project Participants will work on a comprehensive project to apply Generative AI, Text Mining, and Computer Vision in a business management scenario.

Tools & Software:

• Python programming for hands-on exercises.
• AI/ML libraries such as TensorFlow, PyTorch, and Keras.
• NLP tools: NLTK, spaCy, and transformers.
• Computer Vision libraries: OpenCV and TensorFlow.
• Cloud-based AI platforms for deployment and experimentation (e.g., AWS, Google Cloud).

Knowledge:

• Has advanced knowledge within the academic field and specialized insight to analyze and deal critically with various sources of information and use them to structure and formulate scholarly arguments
• Has advanced knowledge within the academic field and specialized insight to understand the fundamentals of Generative AI, Text Mining, and Computer Vision.
• Has advanced knowledge within the academic field and specialized insight to understand the AI principles

Skills:

• Can use relevant methods for research and practical experience in designing and implementing Generative AI, Text Mining, and Computer Vision solutions for real-world problems.
• Can carry out an independent, limited research or development project under supervision for the applying Generative AI, Text Mining, and Computer Vision to enhance management workflows, creating significant improvements in operational efficiency, decision-making, and cost reduction.
• Can use relevant methods for research for Text Mining to analyze large volumes of textual data and extract actionable insights for decision-making
• Can use relevant methods for research in a practical application of these technologies in management scenarios, focusing on improving productivity, cost-saving, and automation.

General competence:

• Can carry out an independent, limited research or development project under supervision and in accordance with applicable norms for research ethic
• Can apply his/her knowledge and skills to Generative AI models to create business content, reports, and automated solutions.
• Can contribute to new thinking and innovation processes to lead organizational change initiatives.
• Can apply his/her knowledge and skills to prepare IoT solutions across various industries.
• Can contribute to new thinking and innovation processes.

• Blended learning with a mix of online lectures, practical sessions, and real-world case studies.
• Live discussions with industry professionals and AI experts.
• Applied project to solve a real-world problem, integrating all three technologies.