The First Year of a Robot Deployment Is a Data Collection Exercise. Plan Accordingly.
The first deployment year focuses on collecting real-world data, refining models, and continuously improving system performance through iterative learning cycles.
Why Physical AI Is the Hardest Data Problem in the Industry
Collecting, processing, and annotating data from the physical world is in a different category of difficulty entirely.
The Invisible 90%: What Actually Goes Into Building an AI Model
The data pipeline not the model is where most of the time, cost, and quality risk in AI development lives.