Ali Khalid
Emirates Airline (UAE)
A Quality Framework for the Age of AI
AI is being deployed faster than our ability to ensure it works correctly. The failures are already visible — biased decisions, hallucinated facts, models that perform well in testing and poorly in production. But quality in AI isn’t a single problem with a single solution. Classic AI and Generative AI present fundamentally different quality challenges, and most teams are applying the wrong playbook. This talk introduces a practical framework built on five pillars — Transparency, Reliability, Accountability, Credibility, and Ethics — and makes the case that quality isn’t a technical checkpoint. It’s an organizational design choice that has to be made deliberately, and owned broadly.
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Ali is a technology and transformation leader with deep expertise in enterprise-scale Data, Analytics, and AI. He has built and scaled multiple engineering, data, and platform organizations, leading large-scale transformation programs that modernize technology landscapes, operating models, and ways of working across complex enterprises.
His experience spans the delivery of enterprise-grade data platforms, data governance capabilities, and analytics solutions that enable organizations to make confident, data-driven decisions at scale. Ali has led initiatives focused on data quality, observability, and performance across data estates exceeding 15 petabytes, supporting thousands of data workflows and mission-critical business processes. His work has helped organizations improve trust in data products while increasing the reliability, scalability, and efficiency of their data ecosystems.
A strong advocate for trustworthy AI, Ali works closely on establishing quality, governance, and assurance practices for both traditional analytics and generative AI solutions. He has led the development of tools, frameworks, and operating models that help organizations assess, monitor, and improve the trustworthiness of AI-driven outcomes.
Known for bridging executive strategy and technical execution, Ali combines engineering leadership with a pragmatic approach to transformation, helping organizations unlock business value through modern data platforms, trusted AI, and sustainable digital innovation.
