Chapter 11: Building a successful data science ecosystem using public cloud
Category:
Chapter
Published:
20 Jun 2023
Page Range:
165–178
Collection:
Business 2023
DOI:
https://doi.org/10.4337/9781800888555.00015
Keywords:
Artificial intelligence (AI); Machine learning; Deep learning; Machine learning; The Oracle CPU (OCPU); Data science; AWS sage-maker; Oracle data science
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This chapter provides a brief overview of the advantages of adopting public cloud to deploy a data science platform. We will begin by discussing the difficulties that a company confronts when adopting a data science platform on-premises and how public cloud can assist them in overcoming them. The examples in this article are intended to illustrate how financial institutions can benefit in terms of agility and financial terms by implementing data science platforms in cloud environments, not to promote any particular cloud service provider.

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Cover Handbook of Big Data Research Methods
Handbook of Big Data Research Methods
Handbook
Published:
20 Jun 2023
Print ISBN:
9781800888548
eISBN:
9781800888555
DOI:
https://doi.org/10.4337/9781800888555
Pages:
334
Collection:
Business 2023
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