analiza aiqbench

The industry has shifted focus to the physical world where high-dimensional sensor data now drives systems capable of perception and action in real space. A recent survey reveals that model failures are predominantly caused by data bottlenecks, specifically inefficient annotation workflows rather than architecture size or collection volume. Success depends on optimizing how teams curate existing datasets for production use instead of merely chasing larger models or accumulating more raw footage.