Aman Naimat is the SVP Technology for Demandbase where he is working on creating the first Artificial Intelligence account-based marketing platform. Aman was previously co-founder and CTO of Spiderbook, a data-driven sales engine. Before Spiderbook, he was the co-founder of TopCorner, a platform for Open Government. Aman has been building CRM systems since he was 19. He also founded and worked in various startups in search, trading systems, and enterprise software.

IN 2004, IN THE MAZE-LIKE aisles of Stanford's computer science department, I spoke to a man who resembled Santa Claus. This bearded man was John McCarthy, who coined the term Artificial Intelligence in the 1950s and was one of the founding fathers of Artificial Intelligence, along with Marvin Minsky. McCarthy spearheaded the effort for some time, including creating the language Lisp for the purpose of AI, among other innovations like time-sharing for computers, garbage collection, and lambda calculus. I was a graduate student studying natural language processing, and AI wasn't as cool as it is today. Neither was natural language processing.

As with other technologies introduced in the past decade, artificial intelligence is the subject of many market predictions. But what exactly is current commercial adoption of AI beyond academic labs? In this ten-page report, Spiderbook cofounder Aman Naimat provides the results of a data-driven analysis into the U.S. industries and companies using or building AI products right now. Although some so-called AI applications aren't actually cognitive, there are technologies capable of achieving human- or superhuman-level intelligence on given tasks. Naimat and his team canvassed nearly 500,000 companies and used Spiderbook's graph-based machine-learning model to read the business Internet and classify businesses into different levels of AI maturity.