Your integration journey that leads to success

Integration is the backbone of AI at scale. When apps, data, events and services do not move as one, pilots stall, costs rise and new security and compliance risks emerge. In this session, guest speaker Shari Lava, Vice President for AI and Automation at IDC, will share how top performers modernize integration for the AI era: designing the control layer, organizing teams, enforcing policies and measuring impact. Mourad Jaakou, General Manager of Amplify at Axway, will provide an executive view of why a composable integration and orchestration approach matters now and where to start. You will leave with a practical blueprint for hybrid environments and clear next steps for deeper technical follow ups.

You will learn to​

• Diagnose integration gaps that block AI value and prioritize the fixes that matter​
• Define a control layer with clear ownership, policies, and observability​
• Orchestrate data, events, and AI decisions while reducing security and compliance exposure​
• Establish KPIs for reliability, cost, and governance to track progress​

Turn AI plans into production results with one governed integration layer. In this session, we show how Amplify Fusion connects apps, data, events, and AI services into reliable flows you can design visually, secure centrally, and run anywhere. Watch a live demo that maps a hybrid landscape, builds an end-to-end flow, and embeds an AI service with policies for access, safety, and cost control. We will share practical patterns to modernize from existing systems to a composable approach, reduce integration sprawl, and accelerate delivery. 

You will learn to:​

• Build governed flows that include AI services end to end​
• Reuse connectors and templates to deliver faster with less risk​
• Monitor, trace, and optimize runtime and AI spend​

Enterprises want AI that is safe, reliable, and manageable. This session shows how Amplify Fusion and Amplify AI Gateway provide a governance backbone for AI enablement by unifying integration with security and compliance. We will cover how to prevent AI sprawl with centralized control of models, data, and connectors, how to manage sensitive data flows across AI and ML workloads, and how to operationalize MCP and RAG with real time data. We will also explore semantic routing, prompt governance, and token security so teams can move from experiments to production with confidence.

You will learn​

• How to centralize AI assets and eliminate shadow usage with Amplify AI Gateway​
• How to govern sensitive data end to end across models and pipelines​
• How to apply semantic routing, prompt policies, and cost controls in production

Key Talking Points:

• Preventing AI sprawl with centralized asset control
• Managing sensitive data flow across AI/ML models
• Role of MCP  and RAG with real time data
• Role of semantic routing, prompt governance, and token security

The goal of this fifth episode is to explore how Amplify Fusion complements AWS for resilient, scalable AI ready integration.

Key points:

• How to Move beyond hype to practical implementation
• How to Focus on measurable business outcomes, not just technology
• How to Bridge the gap between experimentation and enterprise-scale success
• Leverage AWS Ecosystem with Amplify Fusion

Explain how to orchestrate AI-native digital experiences using Fusion

• Key Talking Points:
• Scope of Work
• Solution overview and architecture
• Customer Benefits

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