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Beschreibung
This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Data projects fail by never reaching deployment, making this book an essential resource for data science and AI practitioners, as well as managers. The author illustrates the methods and tools by including real examples from her experience building and deploying data science and AI projects. This new edition builds upon the original book with revisions, updates and features a new chapter on Generative AI.
How to Avoid Project Pitfalls
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 30. Juli 2025 |
| Maße | 24 cm x 16.8 cm |
| Gewicht | 158 Gramm |
| Format | Softcover |
| ISBN-13 | 9783031908699 |
| Auflage | Second Edition 2026 |
| Seiten | 71 |
Schlagwörter
Angewandte Informatik, Artificial Intelligence, Computer and Information Systems Applications, Data Science, Datenbanken, Künstliche Intelligenz, Management: Entscheidungstheorie, Mathematische und statistische Software, Operations Research and Decision Theory, Optimierung, Optimization, Statistics and Computing, Unternehmensforschung, Wahrscheinlichkeitsrechnung und Statistik
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