How should businesses assess AI?

There is open disagreement in the AI community about the importance of evaluations; some consider them to be "on vibes," while others maintain that they are the sole means of gauging advancement. The new brief from Invisible breaks through the clutter by demonstrating why "benchmaxxing" warps reality and what should be measured instead. Inside, you will discover: Evaluations described: the gap between ROI and AI pilots A useful structure for personalized assessments that match your use cases How to create inputs, identify inaccurate training data, and perform safety and behavioral checks A client scenario that used 4k rows instead of 100k to reduce dangerous behaviors by 97%