AI is moving from hype into trusted engineering workflows, and test systems need to evolve.
VDC Strategy speaks with Emerson leaders Charles Schroeder and Dan Baker about how AI is reshaping engineering productivity, test system design, and the future of intelligent validation.
As AI becomes embedded in products, edge systems, autonomous platforms, and next-generation networks, engineering teams face a new set of challenges. Traditional test models were built for defined inputs and predictable outputs. Intelligent systems introduce more dynamic conditions, larger data volumes, and more complex validation requirements.
This discussion explores what that shift means for test and measurement leaders, including how organizations can move beyond AI experimentation, build trust in AI-enabled workflows, and prepare for the next generation of intelligent systems.
Watch the full conversation to learn:
- How AI can help engineers analyze data, identify patterns, and make faster decisions
- Why trusted workflows are essential for AI adoption in mission-critical test environments
- How physical AI is changing validation requirements at the edge
- Why autonomous systems are challenging traditional stimulus-response testing
- How integrated hardware, software, data, and AI platforms can support more intelligent test strategies
- Where engineering organizations can start as they move from AI exploration to practical implementation
