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World Congress 2026 North America • Sep 25, 2026 • Session details

From Possibility to Production: Why AI Raises the Bar for Engineering

Leigh-Ann Russell

Leigh-Ann Russell proves AI won't replace engineers. Instead, it elevates them to system architects. Discover how BNY uses strict governance to actually unlock developer autonomy.

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#1 about 3 min

Shifting engineering from writing code to shaping systems

The nature of development changes to focus on architecture, controls, and quality evaluation rather than manual coding.

#2 about 2 min

Navigating AI adoption in highly regulated environments

Large institutions must balance the hype of artificial intelligence with the reality of strict regulatory constraints and production trust.

#3 about 3 min

Achieving technical and leadership coherence for AI scale

Messy architecture and scattered data are amplified by AI, requiring strong alignment across the technology stack and executive leadership.

#4 about 4 min

Scaling digital employees through a model-agnostic platform

A unified, reusable technology platform enables teams to swap frontier models without re-plumbing their underlying architecture.

#5 about 3 min

Embedding governance by design to unlock developer autonomy

Treating observability, controls, and accountability as first-class features allows engineering teams to deploy faster with confidence.

#6 about 4 min

Resolving complex operational workflows with AI teammates

Effective automated solutions require clear boundaries, trusted data sets, and defined escalation paths to human managers.

#7 about 4 min

Fostering a cultural shift toward human-AI collaboration

Framing AI as an interactive teammate rather than a basic tool collapses the distance between assembling context and executing tasks.

#8 about 3 min

Architecting multi-agent systems for distributed workflows

Moving beyond simple prompts requires robust systems engineering for context sharing, orchestration, evaluation, and boundary setting.

#9 about 3 min

Building engineering habits that compound organizational speed

Winning teams focus on platform thinking, component reuse, disciplined evaluation, and strong product instinct to maintain momentum.

#10 about 3 min

Redefining the engineering craft in a low-cost code era

As the cost of producing code approaches zero, developers must act as architects and editors who prioritize resilience and elegance.

#11 about 4 min

Driving enterprise-wide AI adoption through inclusive enablement

Providing tools and comprehensive training to all employees ensures adoption becomes a foundational engineering input across the business.

#12 about 2 min

Prioritizing the underlying ecosystem before adopting models

Organizations must fix data incoherence, uneven controls, and thin evaluation practices to build durable AI production value.

Matching moments

2:59 min

Driving organizational change through clear engineering mandates

Brian Scanlan Brian Scanlan · World Congress 2026 Europe

2:20 min

Transitioning to AI-native engineering teams and workflows

Tomislav Tipurić Tomislav Tipurić +1 · World Congress 2026 North America

2:29 min

Shifting mindsets from AI tools to capable colleagues

Ussama Baggili Ussama Baggili · World Congress 2026 North America

1:23 min

The state of AI adoption in engineering

Alex Laubscher Alex Laubscher +3 · World Congress 2025

2:53 min

Bounding AI systems and redefining software engineering roles

Beth Rudden Beth Rudden · World Congress 2026 North America

5:20 min

Shifting from AI hype to enterprise operations

Deivids Vilkinsons Deivids Vilkinsons +3 · World Congress 2026 Europe

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