AI for Decision MakersHandelshögskolan vid Göteborgs universitet - GU Executive Education
AI for Decision Makers
AI for Decision Makers
Artificial Intelligence (AI) encompasses the area of how computers can perform tasks traditionally considered to require human intelligence. The topic of using AI is discussed often in modern companies, e.g. should our company use AI? When should we use AI? What is the business case for our company using AI?
The course gives an introduction and practical demonstrations to the subject and has two main purposes. The first purpose is to provide knowledge and understanding of the key concepts within AI, their historical development, and the ethical issues that may arise with respect to AI. The second purpose is to provide decision makers with the knowledge and tools to reason about the feasibility of using AI in their companies – when and how to use it, as well as which benefits and costs AI brings.
During the course the participants learn how to set-up the infrastructure, train an example classifier and how to reason about the costs and benefits of using AI. Through practical exercises participants gain an understanding of how AI can be applied. Following the first half-day, participants work on their own with their case. In a second half-day session of the course, they present cases for discussion and feedback.
For decision makers who want to understand the possibilities and challenges related to using AI and Machine Learning. Provides an opportunity for participants to practice on datasets or develop their own case of using AI.
- 8.30-09.15 Introductory seminar: what is AI, machine
learning and what we need to get going
- 09.30-11.00 Demo: Data visualization and machine learning
- 11.00-11.45 Introduction of case/assignment. Questions
- 11.45-12.00 Summary
During their own work, the participants can work on either the
case (based on the case description) or a programming problem
(based on the demonstraction).
- 9.00-09.15 Check-in
- 09.15-11.00 Presentation and discussion
- 11.00-11.30 Feedback
- 11.30-12.00 New developments in AI and closing
Tid & plats
March 27-28, 2023 – online
May 29-30, 2023 – at the School of Business
Pris: 8 900 kr (exkl. moms)
Faculty: Professor MIROSLAW STARON
Professor of Software Engineering at the University of Gothenburg IT faculty. His research focuses on software development within automotive applications, software effectiveness, data warehouses and profiling of the performance of products and organizations. In the recent years, Prof. Staron has been working on using AI to improve software engineering activities (testing, code review, programming) and utilizing AI in medicine.
Handelshögskolan vid Göteborgs universitet - GU Executive Education
GU Executive Education - a part of The School of Business, Economics and Law at the University of Gothenburg - delivers an Executive MBA programme with a Nordic-Asian focus, and custom programmes for the private and public sectors. Deliveries take...
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