Webinar: AI Systems Engineering: Leading Complex, Intelligent Systems
AI is transforming how we design and deliver complex systems. For Systems Engineers, Technical Managers, AI Product Managers, and engineers, this shift brings both opportunity and challenge. AI can speed up development, uncover patterns no human could see, and handle complexity at scale, but it can also blur roles, create integration risks, and raise questions about accountability.
Across industries, AI has been applied in very different ways, from projects where it is the core product to programmes where it is just one component in a much larger system. In each case, success depends on how well the engineer’s role is defined in working with AI: when to trust it, when to override it, and how to ensure the system delivers value without losing control.
This webinar focuses on what it takes to lead AI-driven projects with clarity:
- Defining responsibilities when humans and AI share the work
- Managing complexity without overloading the team
- Ensuring AI systems are aligned with organisational goals and ethical standards.
Whether building AI systems or using AI to build complex systems, the principles covered will help participants lead with confidence in this evolving landscape.
Who would benefit from attending this webinar:
Systems Engineers, Technical Managers, AI Product Managers, and engineers working at the intersection of AI and complex system design.
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