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AI and IT in Industry
Last Updated: 2026-06-01 11:30:45
Abstract
Participants learn how new information technologies such as machine learning and AI change different aspects of a business, and learn how to evaluate specific risks, costs, and benefits of new technologies. It addresses success factors and pitfalls for technology initiatives, and equips participants to contribute to technology-related decisions.
Objective
Participants understand how technology impacts business strategy. They are able to assess benefits, costs, and risks of new technology use, and to contribute to decisions balancing these aspects. They understand the long-term impact of today's technology decisions and can use it to help companies make better technology investment decisions. Participants are able to confidently participate in discussions with technical experts and to ensure technology is evaluated from the perspective of the commissioning business. Participants understand how AI projects differ from traditional IT projects. They are able to shape respective projects in their companies and to help make them successful.
Content
This integration module links the newly acquired understanding of technology with technology’s impact on business strategy. Participants will explore how new information technologies such as machine learning and AI change different aspects of a business, and learn how to evaluate specific risks, costs, and benefits of new technologies. The module will shed light on success factors and common pitfalls when implementing new technologies and respective business changes, and it will specifically address the communication between technical experts and business management. The module provides insights into how participants can contribute to technology-related decisions and help shape the use of IT for business benefit. It teaches concepts regarding IT cost, IT risk, IT complexity, and IT lifecycle management, software architecture and project methodologies, including how machine-learning projects differ from traditional IT projects, and applies them to a number of current business/IT topics such as cloud computing, use of AI for software development, and Internet of Things.
General Information
- Language
- English
- Levels
- NDS , WBZ
- Frequency
- Semesterly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | AI and IT in Industry |
|
32 h semesterly |