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DevOps for models : how to manage millions of models in production, and at the edge

Author: Teresa Tung; Ishmeet Grewal; Jurgen Weichenberger
Publisher: [Place of publication not identified] : O'Reilly, 2017.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"As Accenture scaled to millions of predictive models, it required automation to ensure accuracy, prevent false alarms, and preserve trust. Teresa Tung, Ishmeet Grewal, and Jurgen Weichenberger explain how Accenture implemented a DevOps process for analytical models that's akin to software development--guaranteeing analytics modeling at scale and even in noncloud environments at the edge."--Resource description page.
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Teresa Tung; Ishmeet Grewal; Jurgen Weichenberger
OCLC Number: 1035423261
Notes: Title from title screen (viewed May 11, 2018).
An excerpt from the 2017 O'Reilly Strata Conference in Singapore.
Performer(s): Presenters, Teresa Tung, Ishmeet Grewal, Jurgen Weichenberger.
Description: 1 online resource (1 streaming video file (36 min., 1 sec.)) : digital, sound, color
Other Titles: How Accenture managed millions of models in production, and at the edge
Responsibility: Teresa Tung, Ishmeet Grewal, Jurgen Weichenberger.

Abstract:

"As Accenture scaled to millions of predictive models, it required automation to ensure accuracy, prevent false alarms, and preserve trust. Teresa Tung, Ishmeet Grewal, and Jurgen Weichenberger explain how Accenture implemented a DevOps process for analytical models that's akin to software development--guaranteeing analytics modeling at scale and even in noncloud environments at the edge."--Resource description page.

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