Common misconceptions, hidden pitfalls, and the path to a future-proof AI architecture
                                                           
 
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Hi Ghnbg,

AI is just getting started, but at many organizations, the supporting architecture is already showing major cracks. Legacy systems are simply too fragile and inflexible for intense AI workloads that consume and generate massive varieties and volumes of data. In this webcast, we’ll cut through the AI hype to focus on common misconceptions, hidden pitfalls, and a clear path to building scalable and resilient AI solutions. You’ll walk away with a solid understanding of:

  • The risks of AI applications and database sprawl
  • How shifting architectures impact performance, scalability, and maintainability
  • Strategies for designing an AI-ready data platform that avoids common traps
  • Why a developer-centric, modular approach beats black box solutions
Register Now

Tuesday, June 10

9 a.m. PT / 12 p.m. ET

Online

Tyler Mitchell

Senior Product Marketing Manager
Couchbase

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