Scalable proactive event-driven decision making

Alexander Artikis*, Chris Baber, Pedro Bizarro, Carlos Canudas-De-Wit, Opher Etzion, Fabiana Fournier, Paul Goulart, Andrew Howes, John Lygeros, Georgios Paliouras, Assaf Schuster, Izchak Sharfman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


Rapid social, economic, and political changes are leading factors that call for a shift in the ways we respond to continual events occurring daily. Having a proactive response, rather than a reactive response, allows decision makers to detect opportunities and threats that could affect business [6]. Eliminating or mitigating an anticipated problem, or capitalizing on a forecast opportunity, can substantially improve quality of life, and prevent environmental and economic damage. Changing traffic light policies and speed limits to avoid traffic congestion, for example, will reduce carbon emissions, optimize public transportation, and improve the productivity of commuters. Similarly, adding credit cards to watch lists as a result of forecasting fraud will reduce the cost inflicted by fraudulent activities on payment processing companies and merchants, and consequently lower credit card rates.

Original languageEnglish
Article number6901314
Pages (from-to)35-41
Number of pages7
JournalIEEE Technology and Society Magazine
Issue number3
Publication statusPublished - 1 Sept 2014


  • Decision making
  • Real-time systems
  • Forecasting
  • Scalability
  • Economics
  • Big data
  • Event recognition
  • Process management

ASJC Scopus subject areas

  • General Social Sciences
  • General Engineering


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