The article makes the false equivalency that all three skills are mutually exclusive. In actually, having proficiency in all of AI/DS/Data Engineering is important, as they are all interrelated with DS proper (where AI is used for Moreno robust modeling and Data Engineering is for practical schema management)

And DevOps too. Honestly I’d like to see more thought pieces about statistical devops workflows that aren’t from startups which intentionally complicate the process to sell their own product.