Description
Artificial intelligence is rapidly evolving from chat assistants into autonomous workflow agents capable of completing meaningful engineering tasks. For design and engineering organizations, the greatest opportunity isn't replacing designers it's eliminating the repetitive work that consumes the time of design technologists, and other highly skilled experts.
This session explores running secure, high-performance agentic workflows with local AI models alongside Autodesk applications on Dell Pro Max and Precision workstations powered by NVIDIA RTX PRO GPUs and NVIDIA Grace Blackwell AI superchips. Local open models keep sensitive design data and IP on-premises, reduce inference costs, and deliver always-on, low-latency automation.
Through practical Autodesk-focused examples, we'll demonstrate AI agents that review models against CAD and BIM standards, validate customer requirements, automate quality control, generate documentation, and orchestrate multi-step engineering workflows.
Key Learnings
- Define generative AI, copilots, and agentic AI, and identify where autonomous workflows can deliver utilizing MCP and API.
- Evaluate agentic AI, deploying frontier models vs. open weight models, token economics and infrastructure.
- Identify practical opportunities to automate repetitive engineering tasks to increase the effectiveness of teams.
- Leave this session with everything you need to go build and deploy agentic workflows
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