Why So Many Data Science Projects Fail to Deliver:
Many companies are unable to consistently gain business value from their investments in big data, artificial intelligence, and machine learning. A study of the data science functions and initiatives in three of India's largest private-sector banks identified five obstacles to successful data sc...
Gespeichert in:
| Beteiligte Personen: | , , , |
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| Körperschaften: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Erscheinungsort nicht ermittelbar]
MIT Sloan Management Review
2021
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| Ausgabe: | 1st edition. |
| Links: | https://learning.oreilly.com/library/view/-/53863MIT62317/?ar |
| Zusammenfassung: | Many companies are unable to consistently gain business value from their investments in big data, artificial intelligence, and machine learning. A study of the data science functions and initiatives in three of India's largest private-sector banks identified five obstacles to successful data science projects and suggests remedies that can help companies obtain more benefit from their data science investments. |
| Beschreibung: | Online resource; Title from title page (viewed March 2, 2021) |
| Umfang: | 1 Online-Ressource (7 Seiten) |
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| spellingShingle | Joshi, Mayur Austin, Robert Su, Ning Sundaram, Anand Why So Many Data Science Projects Fail to Deliver |
| title | Why So Many Data Science Projects Fail to Deliver |
| title_auth | Why So Many Data Science Projects Fail to Deliver |
| title_exact_search | Why So Many Data Science Projects Fail to Deliver |
| title_full | Why So Many Data Science Projects Fail to Deliver Joshi, Mayur |
| title_fullStr | Why So Many Data Science Projects Fail to Deliver Joshi, Mayur |
| title_full_unstemmed | Why So Many Data Science Projects Fail to Deliver Joshi, Mayur |
| title_short | Why So Many Data Science Projects Fail to Deliver |
| title_sort | why so many data science projects fail to deliver |
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