Event Tag: AIAA Aerospace Perspectives Series

Aerospace Perspectives Series: Aligning Strategy and Decisions with a Golden Thread

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Most organizations strive for strategic alignment, but in reality, strategy lives in slide decks, plans in spreadsheets, and risks in separate systems. By the time information reaches executives, it is often outdated, turning alignment into a periodic exercise rather than an ongoing capability.

In aerospace and defense programs, where coordination across engineering, operations, cost, schedule, and risk is critical, this disconnect makes it difficult to maintain a clear line of sight from strategic priorities to execution.

In this session, we will explore how organizations can move from misalignment to decisions guided by a true golden thread, using unified data to provide ongoing decision guidance from strategy through initiatives, delivery, risks, and outcomes. You will learn how to:

  • Connect familiar data sources into a unified view without rebuilding your planning approach
  • Reveal how changes ripple across plans in real time
  • Clarify trade-offs by exposing competing priorities and resource constraints

Shift leadership conversations from static reporting to dynamic decision-making

Speaker:
Jason LefeverJason Lefever 2026
Director, Solutions Engineering
Lumivero

 

This webinar is free of charge and is open to the public. Registered attendees will receive a post-event email to access the on-demand recording.

Aerospace Perspectives Series: The Accelerating Pace of Physics AI Modeling and What It Means for the Aerospace Industry

 On-Demand Recording Available

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The last two years have witnessed a surge in the acceleration in our ability to generate, curate, and use data for large-scale training of modern physics-AI surrogates. Additionally, physics-AI architectures are rapidly improving in their ability to accurately represent complex, industrially relevant geometries and associated physics. Extrapolating into the future, we must ask ourselves the question: “What does this mean for the future of aerospace engineering?”

During this webinar, Professor Alonso will describe the evolving landscape of artificial intelligence and machine learning methods as they relate to various applications in aerospace engineering, including design space exploration, optimization, uncertainty quantification, and data assimilation for digital twins. For example, Luminary Cloud has developed SHIFT-CCA, a physics-AI model for external aerodynamics (including the flowpath for the propulsion system) for the U.S. Air Force’s Collaborative Combat Aircraft. Using SHIFT-CCA, Professor Alonso will discuss how such models can be used and the potential of Luminary Cloud’s SHIFT models for aerospace applications.

Speaker:
Juan AlansoJuan Alonso
CTO and Cofounder, Luminary Cloud; Chair, Department of Aeronautics and Astronautics, Stanford University

 

This webinar is free of charge and is open to the public. Registered attendees will receive a post-event email to access the on-demand recording.