What mistakes come up most often in IoT projects that struggle or fail?
A few recur across the field: choosing a platform that was really built for a different pattern — for example a relabelled IoT platform used for an IIoT project — and hitting scalability or implementation-time problems as a result; trusting a battery’s datasheet capacity instead of testing it, and ending up with far less real-world autonomy than planned; and picking a connectivity technology based on an uncontextualized comparison chart rather than the actual use case and coverage needs.
Should I build an in-house IoT team or work with a specialist?
The recurring advice on the hardware side is telling: even experienced teams are pushed to work with experts for battery and power design rather than rely on lab intuition, because the gap between what a datasheet promises and what a device does in the field is where most projects lose time and money. The same logic applies across connectivity choice, platform architecture and lifecycle management — areas where a specialist who has already made and fixed these mistakes shortens the path considerably.