SPONSORED: Sovereign AI overcomes compliance challenges and feeds innovation in public sector and other regulated industries, say HPE and NVIDIA
AI AND ML
SPONSORED FEATURE: Sovereign AI is becoming a strategic infrastructure priority, explain HPE's Thierry Pienaar and NVIDIA's Kaushik Shirhatti
Enterprises must "feed" their AI ventures with reliable, well-curated data if they want worthwhile returns. But new mandates governing AI deployments also require them to act as careful custodians of their data, along with the infrastructure, supply chain, software and other aspects of their IT landscape.
Sovereign AI gives an enterprise, or even a nation state, complete control over how its AI systems are built, deployed, operated, and governed. It emphasizes control over data, infrastructure, models, operations, and policies, often within specific legal, regulatory, or geographic boundaries.
Sovereign AI matters for organizations and governments that need AI environments aligned with their own security, compliance, privacy, and governance requirements.
For some, that means keeping sensitive data in-country. For others, it means controlling who can access systems, where workloads run, how...
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