Jeff Mottle

Jeff Mottle

Industry Partnership Manager for AECO
NVIDIA
Bio

Jeff Mottle is a seasoned professional in the architectural computer graphics industry, currently serving as the Industry Partnership Manager for AECO at NVIDIA. In this capacity, he manages NVIDIA’s leading AECO ISV developer partnerships, helping them enhance their platforms and applications using NVIDIA’s accelerated computing platforms, AI, and Omniverse.

With a career spanning nearly three decades in the architectural visualization field, Jeff has held various roles, including production visualization artist, technical director, business development, and CEO. As a published author and expert in the visualization industry, he has contributed articles to numerous industry-leading publications.

During his time as the founder and CEO of CGarchitect, Jeff pioneered the development of an AI-powered aesthetics prediction engine that curated user-generated content submitted to the site. This innovative engine achieved nearly 80% parity in accuracy when compared to industry expert judges, highlighting Jeff’s forward-thinking approach to the field.

Throughout his career, Jeff has been recognized for his dedication and contributions to the architectural field. In 2018, he was awarded a Lifetime Achievement Award by the American Society for Architectural Illustrators (ASAI), and in 2012, he received the Joe Greco Community Award, the CAD Society’s top honor.

Jeff has a proven track record of building communities and fostering strong relationships in the architectural design industry. Most notably, he founded the esteemed online magazine CGarchitect and later sold it to industry rendering leader Chaos.

NXT DEV Talk

Panel discussion: AI in practice: from general to expert, training to legal

While Artificial Intelligence / ML is going through the hype-cycle, the full impact on AEC has yet to be felt. Many software developers are working on applications, and we are seeing early uses in conceptual design, but AI tools will eventually be sprinkled throughout the AEC process, from concept, through fabrication to operation, dramatically increasing productivity. Our panel will discuss application areas in use, in development, what AI training for AEC involves, the legal ramifications of AI (learning, IP protection), in-house vs general AI and what AI expert systems will mean to current workflows.
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