Intel and IBM - Taking Enterprise AI from Pilot Project to Production, IBM Think 2026
Summary
Intel showcased its enterprise AI capabilities and partnerships at IBM THINK 2026, emphasizing performance, trust, and open hybrid architectures. The company demonstrated its AI Data Center Portfolio, featuring AI powered by Intel® Xeon® processors and Confidential AI with IBM Sovereign Core, Db2, and Ethernet, illustrating how open infrastructure facilitates AI deployment. In a sponsor session with IBM and Iterate.ai, Intel presented a private, production-ready agentic AI solution for healthcare revenue recovery, utilizing Intel® Gaudi® 3 on IBM Cloud and Iterate Generate. Additionally, Intel participated in the "Sovereign by Design" roundtable, discussing sovereignty frameworks, open hybrid architectures, and transparent AI governance to build trust and resilience in AI strategies. The event underscored the strong partnership between Intel and IBM in advancing enterprise AI.
Key takeaway
For AI Architects evaluating enterprise AI infrastructure, Intel's collaboration with IBM at THINK 2026 highlights a path to production-ready, trusted solutions. You should consider integrating Intel® Xeon® processors and Intel® Gaudi® 3 with IBM Cloud and Sovereign Core for secure, high-performance AI deployments. Prioritize open hybrid architectures and robust AI governance to ensure trust and resilience in your AI strategy.
Key insights
Intel and IBM are collaborating to enable production-ready, trusted, and open enterprise AI solutions.
Principles
- Enterprise AI needs performance, trust, and openness.
- Sovereignty frameworks enhance AI control and resilience.
- Open hybrid architectures are key for AI deployment.
In practice
- Deploy agentic AI for healthcare revenue recovery.
- Utilize Intel Xeon processors for AI data centers.
- Implement Confidential AI with IBM Sovereign Core.
Topics
- Enterprise AI
- Intel Xeon processors
- IBM Sovereign Core
- Intel Gaudi 3
- Agentic AI
- AI Governance
- Hybrid Cloud
Best for: CTO, Executive, AI Product Manager, Director of AI/ML, AI Architect, VP of Engineering/Data
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