Why the AI Hype Train is Already off the Rails and Why I'm Over AI Already

When I started my data science career at Accenture in 2013, everyone in the industry -- from automotive to telecommunication -- was into "big data." In fact, according to Gartner's Hype Cycle that year, big data was at the "peak of inflated expectations." Being a cool kid on the data science block meant you were required to have Hadoop or something similar. And if you had tools like Spark, MapReduce, or Hive in your repertoire you were a rock star. Fast forward to 2017 and the hype around big data has mostly quieted, only to be replaced by artificial intelligence (AI), a sub-branch of machine learning.