Thursday, Nov 12, 2026 | 9:00–9:45 a.m.
From Point AI to Project Intelligence: Building the Decision Layer for the Future of Project Delivery
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Thursday, Nov 12, 2026 | 9:00–9:45 a.m.
Speaker
Summer Husband
SVP, Data & AI
Worley
Summer is the Senior Vice President of Data and AI at Worley. She leads the development of AI, analytics, data platforms, and data governance practices to create value for Worley and its customers.
With 20 years of experience in AI, machine learning and data science, Summer has overseen numerous innovative projects that utilize these technologies to provide advanced solutions. Her efforts have significantly advanced Worley's capabilities in AI. Additionally, she chairs Worley’s Responsible AI Council.
Summer earned her PhD in Computational and Applied Mathematics from Rice University and began her career in scientific consulting within the defense industry. During this time, she received a certificate of recognition for her outstanding contributions to the US Navy ALMDS program. She then transitioned to the HR and staffing sector as a senior data scientist before moving into data leadership and corporate strategy roles, where she revolutionized the implementation of innovative data solutions.
Summer Husband
SVP, Data & AI
ABOUT THE SESSION
AI’s early integration into engineering and project delivery has focused on individual use cases, improving design productivity, optimizing schedules, enhancing cost forecasting and automating workflows. While these innovations have delivered significant value, most organizations still operate with fragmented insights and disconnected decisions.
The next phase of AI is not about adding more tools. It is about creating project intelligence: the ability to connect data, workflows, expertise and AI capabilities into a unified system that continuously guides project execution.
In this keynote, Summer Husband explores how the industry is moving beyond isolated AI applications toward a new model of intelligent project delivery. Central to this transformation is the emergence of a decision layer that integrates information across disciplines, provides real-time insight and helps teams make better decisions as conditions change.
Through practical examples, attendees see how AI can evolve from a collection of point solutions into an adaptive delivery ecosystem that improves predictability, performance and outcomes across the full project lifecycle. The session also explores the critical role of domain expertise, trust, and organizational change in ensuring AI-driven insights are actionable, adopted and aligned with real-world project constraints.
