Abstract
This article examines recent advancements in the use of Artificial Intelligence (AI) for automation and robotics, highlighting efficiency gains across sectors. It reviews key trends, including robotic process automation in different areas and compares AI implementation frameworks such as MLOps and DevOps. The study presents educational approaches to teaching automation at Warsaw University of Technology, detailing project structures, tools and practical outcomes. Quantitative results on time savings are discussed in relation to existing research. The paper concludes with insights on incorporating AI into education to better prepare students for the digital future.
| Original language | English |
|---|---|
| Title of host publication | Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings |
| Pages | 239-253 |
| Number of pages | 15 |
| DOIs | |
| Publication status | Published - 2025 |
| Externally published | Yes |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 15912 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
Keywords
- Low/Zero-Code platforms
- MLOps and DevOps
- Warsaw University of Technology
- automation
- digitization
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