Downloads provided by UsageCounts
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
business transformation, orchestration, graph knowledge base, automation, digital business
business transformation, orchestration, graph knowledge base, automation, digital business
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 5 |

Views provided by UsageCounts
Downloads provided by UsageCounts