

TLDR
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As regulatory pressure, data residency requirements, and geopolitical uncertainty reshape how enterprises think about technology dependencies, Forrester's latest research introduces a pragmatic framework: minimum viable sovereignty (MVS). Rather than pursuing costly, all-or-nothing approaches to digital independence, MVS helps organizations identify the right level of sovereignty for their specific risk appetite, industry, and regulatory context – across infrastructure, software, data, networks, people, and AI.
For teams building or evaluating enterprise AI, the AI section is especially relevant. deepset's own Jay Wilder, VP of Marketing and Developer Relations, is quoted in the report, outlining the three pillars of sovereign AI:
- The ability to customize AI systems with guardrails and controls.
- A commitment to open-source frameworks for transparency.
- Deployment flexibility that lets organizations run AI in the cloud or on-premises depending on their needs.
Read the full report here: https://www.forrester.com/report/minimum-viable-sovereignty-from-theory-to-practice/RES193184?ref_search=3517919_1775200129035
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