The article explores the evolving nature of data and AI engineering, arguing for a shift from defined processes to empirical approaches that embrace adaptability and variability. It draws parallels between the martial arts philosophies of Bruce Lee and Chuck Norris to illustrate the need for data teams to be innovative and responsive in their work. By discussing the definitions and professional standards in engineering, the piece advocates for recognizing data and AI engineering as legitimate engineering disciplines.
data-engineering ✓
ai-engineering ✓
empirical ✓
process-models ✓
+ innovation