Artificial Intelligence in Business and Engineering
Artificial Intelligence in Business and Engineering
The use of artificial intelligence has focused mainly on knowledge-driven industries so far. However, the true game-changer was the application in the core operational fields of business and engineering. Here, AI unlocks immense efficiency and synergy potential - up to and including the transformation of entire business and industry models. This volume highlights today=s practical applications and future perspectives of AI in industrial technologies. It explores generative and emotional AI, the impact on jobs and skills, and uses in healthcare, diagnostics, and mobility - illustrated by human-machine interfaces, recognition techniques, and large language models. Providing both strategic and operational guidance, it equips professionals and executives not just to observe but to actively shape this epochal transformation.
Hofbauer, Günter
Hecht, Dirk
Westner, Markus
Hahn, Alexander
Singer, Günther
Zhou, Ruimei
Wimmer, Georg
Zhou, Lingle
Huang, Bingding
Jesser, Alexander
Nemeth, Phil
Amin, Md Nur
Winkelmann, Sven
Klug, Katharina
Bilgram , Volker
Fitch, Katherine
Joosten , Jan
Labiak, Agata
Hagiwara, Yuki
Ahmad, Faizan
Liang, Haomin
von Hoffmann, Alexander
Iantorno, Marina
Karg, Johannes Simon
| ISBN | 9783170467422 |
|---|---|
| Artikelnummer | 9783170467422 |
| Medientyp | Buch |
| Copyrightjahr | 2025 |
| Verlag | Kohlhammer |
| Umfang | 178 Seiten |
| Sprache | Englisch |
