~/talk

BoF | Fueling Cloud Native: The Data We Have, the Data We Need - Hilary Carter, SVP Research

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LF Research catalogs 78 studies on data.world under the Community Data License (CDLA 2.0) and publishes concrete findings: 89% cloud native adoption, Kubernetes reported as impactful by 92% of organizations, 50% use Kubernetes for inference workloads, and 84% report moderate-to-high generative AI adoption. Ongoing work builds an ROI framework to quantify the persistent contribution gap (open source comprises ~80–95% of stacks but upstream contribution lags) and measures costs of internal forks, maintainer employment value (74%), and vendor lock‑in savings.

AI-written summary · about

  1. 0:00Cloud native research intro
  2. 1:49LF Research data library
  3. 3:35Research frameworks & methods
  4. 5:232024 cloud native findings
  5. 6:47Kubernetes impact gaps
  6. 9:17Open source events value
  7. 11:25Generative AI convergence
  8. 13:13Cloud native security trends
  9. 15:01Open source ROI challenges
  10. 18:58Missing data needs
  11. 23:11Non-code contribution value
  12. 26:22Adoption metrics
  13. 27:49Closing remarks
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