Algorithms, Data, and New Workflows: Three Key Concepts Behind AI and Your Future Success

One of AI's most powerful capabilities is being able to identify items or patterns and then apply that understanding to future activities. To enable an AI solution to do this, you need to feed it a large amount of data describing past events and teach it the attributes of those events. This requires the labor-intensive process of establishing a large body of high-quality data, then typically labeling items as positive, negative, or neutral. Teaching computers to recognize cats, as above, involved labeling lots of images of cats as positive.