Focus Areas
Model selection, testing, and continuous evaluation
Safety methods, provenance, and audit trails
Agentic systems and workflow orchestration
XR assisted training and remote operations
Data governance and privacy preserving methods
Procurement, licensing, and cost control
Human in the loop practices that improve outcomes
Measurement: accuracy, latency, availability, and user impact
Who Will Attend
Engineering and Product Teams
Builders who need dependable methods to ship and scale.
Leaders in Health, Education, Industry, and Media
Program owners who must show results and protect people.
Policy and Risk Groups
Participants focused on standards, monitoring, and responsible use.
Students and Early Career Innovators
Learners building knowledge in AI, automation, and immersive systems.
Enterprise, Public, and Private Sector Teams
Leaders advancing responsible AI practices in industry and governance.
Nonprofit and Global Outreach Organizations
Groups supporting ethical technology growth and access for all communities.
