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Graph-driven Orchestration for Digital Business Transformation

Authors: Duggal, Dave;

Graph-driven Orchestration for Digital Business Transformation

Abstract

Abstract: Business operations are increasingly fragmented. It is difficult for organizations to coordinate across business silos, cloud hosts and ecosystem partners. While Graphs are well suited for describing complex real-world relationships, their use has been generally limited to visualization, analysis & interoperability of data. The speaker has pioneered the use of graphs to model behavior, as well as data in order to support agile integration & automation across applications, services, cloud hosts, networks and physical devices. The talk will cover distributed systems challenges and how graphs are a natural fit for a next generation application platform. Specifically, a reference implementation will be presented to describe how graphs are driving intelligent orchestration and enabling the Digital Business. Speaker: Dave Duggal is CEO of EnterpriseWeb. He founded the company in 2009 to address the challenges of managing increasingly fragmented business operations. Dave has spent his career building & turning around companies. He is the inventor of 15 US patents on complex distributed systems. Dave is a regular speaker at industry conferences (e.g. Layer 123, Structure, CloudExpo, Knowledge Connexions, SemTech, EDW, GoTo Con, TM Forum, BPMnext, IWPC) and an occasional blogger. https://www.linkedin.com/in/daveduggal1, https://twitter.com/dave_ideate

Keywords

business transformation, orchestration, graph knowledge base, automation, digital business

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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