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DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14581\nGartner has noted th
 at it is not enough for businesses today to be “ready to change;&rdqu
 o; instead, companies need to be “ready to act” in real-time an
 d understand the context of the action. Simply being prepared to respond to
  change is not sufficient in today’s fast-paced and constantly evolvi
 ng business environment. Organizations need to be able to anticipate and pr
 oactively respond to changes in order to stay competitive.\n\nBut how can a
  business create a data architecture that supports "ready-to-act"
  applications and systems? Gartner suggests embracing an Event–Native
  Mindset, and with an Event-Driven Architecture, organizations can create a
 n enterprise nervous system that delivers continuous intelligence and keeps
  the business always ready.\n\nApplying an Event–Native Mindset to Da
 ta Modeling \n\nConsider for a moment that everything that happens wit
 hin a business environment is an event, and every event impacts an entity o
 r is carried out by an entity. An entity in this context is a core business
  concept like a customer, patient, or product. Everything a patient does &n
 dash; getting diagnosed, visiting a specialist, being discharged, or receiv
 ing a prescription – is an event. Anything that happens to a business
 ’s customer, from making purchases, returns, or calling for supp
 ort, is an event. When products are created, tested, and updated, these act
 ivities are also events.\n\nBy adopting an Event–Native Mindset in da
 ta modeling, organizations can develop more agile and responsive data archi
 tectures that are better suited to handle complex and rapidly changing data
  environments. This approach can help organizations to more quickly identif
 y and respond to changes in data patterns and to more effectively leverage 
 the insights and value that can be derived from event-driven data models.\n
 \nDuring this presentation, we will discuss the necessary steps to building
  your Event-Driven Knowledge Architecture to enable event prediction with m
 achine learning, so your organization can understand the next-best actions&
 nbsp;and recommendations and prepare for the future. We will cover how
  Event-based data models also minimize the complexities of processing real-
 time data, which is why many streaming data platforms and services are pred
 icated on an event-driven architecture.\n
DTSTART:20230919T111500
SUMMARY:Why an Event-Native Mindset Is Now Essential for Data Architecture
DTEND:20230919T115959
LOCATION: See Description
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