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210601s2021 xx go 0o0 0 eng d |
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|a TOH
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|a 53863MIT62317
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|a (OCoLC)1253365265
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|a UAMI
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|a Joshi, Mayur,
|e author.
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|a Why So Many Data Science Projects Fail to Deliver /
|c Joshi, Mayur.
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|a 1st edition.
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|b MIT Sloan Management Review,
|c 2021.
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|a 1 online resource (7 pages)
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|a text
|b txt
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|2 rdamedia
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|a online resource
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|a text file
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|b 6.95
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|a 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.
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|f Copyright © 2021 MIT Sloan Management Review
|g 2021
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|a Made available through: Safari, an O'Reilly Media Company.
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|a Online resource; Title from title page (viewed March 2, 2021).
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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700 |
1 |
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|a Austin, Robert,
|e author.
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1 |
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|a Su, Ning,
|e author.
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1 |
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|a Sundaram, Anand,
|e author.
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|a O'Reilly for Higher Education (Firm),
|e distributor.
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|a Safari, an O'Reilly Media Company.
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|u https://learning.oreilly.com/library/view/~/53863MIT62317/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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|a 92
|b IZTAP
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