Lightning round: Building with AI: From architecture to execution

ServiceNow | Building platforms that don't break: How to architect for scale, change, and AI

The platforms that prove most resilient are those able to accommodate scaling challenges, adapt to ongoing changes, and manage AI-driven workloads. 

Sandeep Voona, architect of ServiceNow's Zero Copy ERP solution that reduced integration latency by 60%, examines the design principles that support long-term platform viability in an AI-driven world.

This insightful talk addresses strategies for developing adaptable architectures that evolve while minimizing technical debt, including data fabrics employing zero-copy models and workflow engines capable of complying with updated regulations rapidly. From initial prototypes to global deployments across SAP, Oracle, and Workday platforms, Sandeep demonstrates how architectural choices made today influence platform outcomes for years to come.

For experienced professionals, this session provides detailed guidance on enabling AI features while maintaining established workflows—such as integrating AI copilots, semantic layers, and live inference engines into enterprise systems. Those new to platform architecture will gain insight into how initial design decisions determine long-term project success or failure. The focus extends beyond current requirements to preparing platforms for future developments in a rapidly evolving technological landscape.

Learning Objectives:

• Master design principles for building resilient platforms that accommodate scaling, change, and AI workloads
• Implement zero-copy data fabrics and adaptive workflow engines that minimize technical debt
• Integrate AI capabilities (copilots, semantic layers, inference engines) into existing enterprise workflows

Symplr | The blueprint to AI-enabled product teams

Most product teams are stuck in "we should experiment with AI" mode. This session is for PMs ready to move to "we're executing with AI"—with a repeatable system, not just scattered pilots.

In this session, Cheyenne Roinestad will share real playbooks developed by PMs and product leaders who've operationalized AI in their workflows. No hype, no theory—just what's actually working.

You'll leave with:

• A blueprint for building AI into your PM workflow: prompt libraries, use-case templates, decision frameworks
• How to identify high-value AI opportunities and operationalize them responsibly
• The pitfalls that stall AI adoption (unclear ROI, hype-chasing, governance gaps) and how to avoid them
• A path from ad-hoc experimentation to AI as a core competency