The message from Autodesk and the many companies that presented and exhibited at Autodesk University (AU) last month in San Diego was clear: for the product design and manufacturing (D&M), architecture, engineering, construction and operations (AECO), and media and entertainment (M&E) industries, AI is a driving force behind productivity.

Autodesk University Mainstage

Data, data, data

AI-driven productivity is customized to the specific needs of each industry, with various generative and multimodal AI models providing solutions for tasks like workflow optimization, manufacturing quality assurance, regulatory compliance, and design visualization. However, the value of AI across these sectors—and beyond—is determined by the quantity and quality of data used.

Quantity matters because more data enables AI systems to learn and improve. Quality, however, is more complex. It requires obtaining relevant data, ensuring data accuracy, and verifying that data usage complies with ethical standards.

Dell demonstrated how their workstations can run generative AI 3D content with NVIDIA Edify trained on Shutterstock ethically sourced content.

Customers are key

The importance of AI and data was evident throughout AU, with presentations and product demonstrations highlighting customer-centric solutions. Hardware providers showcased high-performance workstations equipped with powerful processors, optimized to support AI workloads. Meanwhile, data and asset management providers emphasized AI’s capabilities in extracting valuable information, managing metadata, and monitoring workflows in real time.

Lenovo displayed next generation workstations designed with a customer-centric focus. Partnering with Intel®, NVIDIA and Aston Martin, they offer high-end graphics, memory and processing power.

Autodesk’s Design & Manufacturing team showcased how they are addressing their customers' needs by delivering AI-powered efficiencies through Fusion, a cloud-based, unified platform for design and manufacturing. They also introduced Project Bernini, a research initiative focused on a new approach to generative AI. Unlike many generative models that prioritize the appearance of 3D objects, Bernini emphasizes generating structural 3D data from the inside out, which aligns closely with real-world production needs.

Experimental research project Bernini model generates shape and texture separately and does not confuse or meld those variables.

AI provides a wide range of possibilities based on industry-specific needs. For entertainment and gaming, AI can generate lifelike product and character models, while in manufacturing and design, it lays the foundation for real-world production. With tools like Fusion and research projects like Bernini, Autodesk aims to empower creators and makers to leverage AI for both efficiency and innovation.