Scaling Enterprise AI: Building the Infrastructure for Intelligent Agents

Amin Jerraya, SVP and Head of IT Infrastructure at Siemens Healthineers, shares the infrastructure demands of enterprise AI as workloads span clouds, data centers, and global operations.
How can enterprises balance performance, security, and visibility while building the programmable, interoperable infrastructure needed to scale AI and support autonomous agents?
In this Executives at the Edge episode, host Pascal Menezes explores these topics and more with Amin Jerraya of Siemens Healthineers:
- How are distributed AI workloads changing enterprise connectivity requirements for performance, flexibility, and end-to-end visibility?
- Why must automation and interoperability evolve together as AI agents begin coordinating work across enterprise systems and external providers?
- What can enterprises learn from Siemens Healthineers’ approach to combining zero trust, cybersecurity, and infrastructure engineering from the outset?
- How can programmable infrastructure and standardized APIs help organizations connect applications, cloud resources, and network services more efficiently?
- Where should enterprises focus as they prepare for agentic AI systems that need to operate securely across organizational and provider boundaries?

Learn More
- Read the blog, When the WAN Becomes Part of the AI Production System, to explore how distributed AI workloads are driving demand for greater WAN performance, resilience, and flexibility across cloud, colocation, and on-premises environments.
- Discover Mplify’s progress on Agentic LSO, MCP-enabled automation, and trusted coordination across providers in Key Takeaways from the Mplify Member Summit – Americas.
- Explore Mplify’s SASE Certification Program to learn how independent testing of SD-WAN, Security Service Edge, and Zero Trust technologies supports secure enterprise connectivity.
Executives at the Edge podcast is brought to you by Mplify, a global alliance of network, cloud, cybersecurity, and enterprise organizations working together to accelerate the AI-powered digital economy through standardization, automation, certification, and collaboration.
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