Operational AI Is The New Competitive Advantage
Tuesday, August 4, 2026 at 4:15 PM to 4:35 PM · 20 min. (US/Pacific)
Lando Ballroom 4204
Solo Talk
Software Engineering
Information
The organizations that realize the greatest value from AI will not necessarily be the ones with the best AI. They will be the ones that can deploy AI with confidence at scale.”.
AI is advancing at an unprecedented pace. Models are becoming more capable, agents more autonomous, and AI is increasingly writing code, generating content, making decisions, and participating in core business processes. Yet despite billions invested in AI, many organizations remain hesitant to deploy it at scale.
The challenge is no longer intelligence — it is trust.
As AI becomes embedded in enterprise operations, organizations face a new class of risks, including hallucinations, autonomous decision failures, governance gaps, security vulnerabilities, model drift, bias, and intellectual property exposure. At the same time, business leaders are under pressure to accelerate innovation, improve productivity, and realize measurable value from their AI investments.
In this keynote, Andrew Duncan, CEO of QualityAI, will explore why trust is emerging as the defining challenge of the AI era. He will discuss how the enterprise focus is shifting from building AI to operationalizing AI, why quality must evolve from a software engineering discipline into a business assurance capability, and how Continuous AI Assurance can help organizations deploy AI responsibly and confidently at scale.
Attendees will gain practical insights into how leading enterprises are balancing innovation with risk, accelerating adoption while maintaining control, and building the operational confidence required to move AI from experimentation to business-critical operations.
The first era of AI was about intelligence. The next era of AI will be about trust. To unlock the full value of AI, enterprises must change the prompt — from asking what AI can do to proving what AI can be trusted to do.
AI is advancing at an unprecedented pace. Models are becoming more capable, agents more autonomous, and AI is increasingly writing code, generating content, making decisions, and participating in core business processes. Yet despite billions invested in AI, many organizations remain hesitant to deploy it at scale.
The challenge is no longer intelligence — it is trust.
As AI becomes embedded in enterprise operations, organizations face a new class of risks, including hallucinations, autonomous decision failures, governance gaps, security vulnerabilities, model drift, bias, and intellectual property exposure. At the same time, business leaders are under pressure to accelerate innovation, improve productivity, and realize measurable value from their AI investments.
In this keynote, Andrew Duncan, CEO of QualityAI, will explore why trust is emerging as the defining challenge of the AI era. He will discuss how the enterprise focus is shifting from building AI to operationalizing AI, why quality must evolve from a software engineering discipline into a business assurance capability, and how Continuous AI Assurance can help organizations deploy AI responsibly and confidently at scale.
Attendees will gain practical insights into how leading enterprises are balancing innovation with risk, accelerating adoption while maintaining control, and building the operational confidence required to move AI from experimentation to business-critical operations.
The first era of AI was about intelligence. The next era of AI will be about trust. To unlock the full value of AI, enterprises must change the prompt — from asking what AI can do to proving what AI can be trusted to do.
Job Function Tracks
Software Engineering
