AI Integration and Business Transformation (SZF_165)
About Study Course
Objective
The goal of this course is to prepare students for the effective use of artificial intelligence (AI) in business management. Students will gain in-depth knowledge of AI solutions and their strategic applications, and acquire practical skills in AI project management and business process optimization. The course will develop competencies in AI strategy development, data management, and addressing ethical issues, enhancing students' ability to lead and implement AI-driven organizational changes and find close alignment between AI and business needs.
Prerequisites
Business Management Fundamentals: Basic knowledge of business process management Understanding of organizational structures and management principles Project management fundamentals Technology Understanding: Basic digital literacy Ability to work with business software Understanding of basic data analysis principles Analytical Skills: Ability to analyze business problems Critical thinking Basic understanding of statistics
Learning outcomes
1.1) Students are well-versed in AI solutions for business management, understand their potential and limitations, and are familiar with the latest industry trends.
2) Students have comprehensive knowledge of AI strategy development and implementation, allowing them to competently discuss and argue for the application of various AI solutions in organizations.
3) Students have mastered at least 3 tools designed for business process optimization.
4) Students are familiar with at least 5 different AI project management methodologies and can choose the most appropriate one for each specific case.
5) Students have acquired in-depth knowledge of AI ethics principles and governance practices, enabling them to develop guidelines for responsible AI use in their organizations.
1.1) Develops and documents a comprehensive AI strategy for the organization, including detailed situation analysis, specific implementation steps, measurable outcome indicators, and required resource calculations.
2) Plans and implements AI projects by creating detailed project plans, applying both Agile and traditional project management methodologies, documenting progress, and measuring project outcomes.
3) Evaluates and compares AI solutions by conducting functionality analysis, cost-benefit assessment, technical requirements validation, and implementation risk assessment.
4) Creates and implements data governance strategy for AI initiatives by defining quality criteria, establishing security requirements, and ensuring regulatory compliance.
5) Manages and coordinates AI implementation change processes by developing change management plans, establishing measurable indicators, and organizing necessary training programs.
1.1) Students are able to develop a comprehensive AI strategy for an organization, taking into account its specifics, goals, and resources.
2) Students are able to critically analyze and evaluate various AI solutions, choosing the most appropriate ones for specific business needs.
3) Students can develop and implement a data strategy that supports AI initiatives, ensuring the necessary data quality, security, and regulatory compliance.
4) Students can manage organizational changes related to AI implementation, creating an innovation-oriented organizational culture and ensuring the development of necessary skills within the team.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Digital Strategy and Artificial Intelligence Management | 1 | Master's | Required | Pauls Jansons | |
| Digital Strategy and Artificial Intelligence Management | 1 | Master's | Required | Pauls Jansons |
