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Springer Nature computing video. Introduction to Graph AI for business / produced by Springer Nature.

Academic Video Online: Premium - United States Available online

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Format:
Video
Contributor:
Sathi, Neena, on-screen presenter.
Sathi, Arvind, on-screen presenter.
Springer Nature (Firm), film distributor, production company.
Series:
Academic Video Online
Language:
English
Subjects (All):
Artificial intelligence.
Graph databases.
Business enterprises--Technological innovations.
Business enterprises.
Application software--Development.
Application software.
Decision making--Data processing.
Decision making.
Genre:
Instructional films.
Educational films.
Physical Description:
1 online resource (72 minutes)
Other Title:
Introduction to Graph AI for business
Introduction to Graph artificial intelligence for business
Place of Publication:
London, England : Springer Nature, 2021.
Language Note:
In English.
System Details:
video file
Summary:
More than 90% of information we receive is either unstructured or semi-structured. While other AI techniques are able to find patterns and discover structure, network graphs provide an important aspect of reasoning - the ability to connect dots and bring centuries of knowledge to interpret and analyze these patterns. This video discusses how graphs enable us to read massive amounts of unstructured information, align entities from disparate sources, and synthesize meaningful abstractions. Technological advancements have placed graphs in everyone's reach and yet, there is so much to learn on how to use and exploit this technology for business purposes. The video offers a set of applications and case studies that show how Graph AI can be used in a variety of business settings.
Notes:
Title from resource description page (viewed February 22, 2023).
OCLC:
1372358837

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