Translating the massive amounts of analysis data generated daily by simulation engineers into smart business decisions is a challenge. Time pressures, resource constraints, and knowledge gaps often force teams to make critical decisions without making full use of this vital resource.

In this webinar, GE Aerospace's Rick Arthur will show you a better way forward. You'll discover how leading organizations are combining human expertise with AI-powered systems to:

• Make faster, more confident decisions even when dealing with uncertain or incomplete data
• Reduce costly design iterations by better understanding system sensitivities upfront
• Bridge organizational silos that often derail complex engineering projects
• Build adaptive processes that learn and improve from each project

Rick will describe how familiar gaps and inconsistencies in organizations and long-cycle decision-making can be addressed through this "awakened enterprise" approach. Whether you're working on product development, system optimization, or risk assessment, you will gain food for thought in reflecting on opportunities to evolve data, tools, and processes across your AI implementation strategy.

S​peaker

Richard Arthur
Sr. Principal Engineer, Advanced Computational Methods Research at GE Aerospace Research
Special Government Employee (SGE), Advanced Scientific Computing Advisory Committee, U.S. Department of Energy

Rick leads pathfinding efforts in applying computational methods at GE Aerospace Research. Previously, prior to the corporate split-up, he supported products and services that spanned General Electric’s diverse industrial sectors such as healthcare, media, finance, plastics, air and rail transportation, security, defense and energy. Rick represents GE Aerospace in government policy and project discussions, including the Department of Energy’s Advanced Scientific Computing Advisory Committee. He holds a B.S. and M. Eng. In Computer Engineering and an MBA and is a Senior Member of ACM.