Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Recurso digital |
| Lingua: | |
| Pubblicazione: |
Zenodo
2023
|
| Soggetti: | |
| Accesso online: | https://doi.org/10.5281/zenodo.19330990 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Sommario:
- <p>In the rapidly evolving landscape of software engineering, the integration of artificial intelligence (AI) and machine learning (ML) technologies presents both opportunities and challenges. This paper explores the best practices and challenges associated with leveraging AI and ML in software engineering processes. We discuss the importance of efficient software engineering practices in the era of AI and ML, highlighting key considerations such as data management, algorithm selection, model deployment, and ethical considerations. By addressing these challenges and adopting best practices, software engineers can harness the power of AI and ML to develop robust and scalable software solutions that meet the evolving needs of modern organizations.</p>