Nyekachi Wihioka
Head of Product Design, RideScan AI
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Nyekach Wihioka is a product designer and systems thinker specializing in complex technical platforms. He has experience bridging AI, robotics, and data-driven systems with human-centered design, focusing on usability, operational reliability, and risk-aware product development. Nyekach has led product design and strategy for AI-enabled robotics and software platforms, translating prototypes into production-ready systems deployed across high-stakes environments. His work emphasizes system interpretability, trust, and safety while navigating real-world constraints, including infrastructure limitations, energy reliability, and diverse operator skills. Nyekach combines engineering knowledge with design methodology to provide actionable insights for builders and engineers seeking to deploy deep tech solutions effectively.
How to Stay Relevant as a Designer When AI Can Do the Basics
AI can now generate wireframes, write copy, create illustrations, and produce UI components in seconds. For designers watching this happen in real time, the question isn't whether AI is changing the profession, it's whether there's still a place for them in it.
This keynote answers that question directly. Drawing from real experience of designing at the frontier of AI and autonomous systems, it breaks down what AI is actually taking over, what it can't replace, and what designers need to double down on to stay indispensable. Not career advice. Not predictions. A practical, honest look at what relevance actually looks like for a designer in 2026, and the specific moves that separate designers who thrive in an AI-powered workflow from those who get left behind.
Every designer in this room is navigating this shift right now, whether they're just starting out or ten years in. This talk gives them a clear picture of where to focus, what to learn, and how to use AI as a multiplier rather than a threat.
Building Trust in AI & Robotics: Design for Reliable Deep Tech
AI, robotics, and autonomous systems often fail in real-world deployment, not because the technology is weak, but because humans cannot reliably interpret, trust, or operate them. This session explores product design as a technical discipline in deep tech, showing how system behavior, risk, and uncertainty can be translated into actionable frameworks for engineers. Using real-world AI and robotics examples, participants will learn methods for exposing uncertainty, designing interfaces for operational reliability, and bridging prototypes into production-ready systems. The session emphasizes African deployment realities, including infrastructure constraints, energy reliability, affordability, and diverse operator skills, providing practical tools to build trustworthy, scalable, and context-aware deep tech products.
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