Testing a New Technology Idea? Common Mistakes Before the First Prototype

IoT sensors, AR/VR training, AI models and edge computing all sound promising in a presentation. The hard part is knowing whether one of them will actually work for your specific problem before you spend a full project budget on it.

Mistakes that make pilots fail

  • Starting with the technology, not the use case. Pick one clear problem first, such as predictive maintenance or virtual training, then decide which technology fits it.
  • Skipping the proof of concept. A prototype is the cheapest way to check that a technology works against your real use case before a full build is approved.
  • Ignoring the hardware layer. IoT projects involve sensor networks, device firmware and embedded systems, not only a dashboard.
  • Treating the demo as the finish line. A working pilot still needs a plan for data platforms, automations and ongoing support.

A better order of work

  • Define the use case and what success looks like.
  • Build a small prototype or proof of concept.
  • Test it with the people who will use it.
  • Only then plan the full implementation and support.

See how this works in practice: prototype-first IoT, AR/VR and AI development at the Affix Center innovation lab

Published by Affix Center, a Mumbai-based IT services company based in Lower Parel.

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