Kurt is the founder and CEO of Semantical, LLC, a consulting company focusing on enterprise data hubs, metadata management, semantics, and NoSQL systems. He has developed large scale information and data governance strategies for Fortune 500 companies in the health care/insurance sector, media and entertainment, publishing, financial services and logistics arenas, as well as for government agencies in the defense and insurance sector (including the Affordable Care Act). Kurt holds a Bachelor of Science in Physics from the University of Illinois at Urbana–Champaign.
Back in the mid 1990s, when I began writing books, you could write a book on Windows or Microsoft Word or HTML and be able to command an advance upwards of $18,000 to $20,000, and 18% royalties on gross and sell potentially tens of thousands of books. Many prominent names in the tech industry got their start financially this way. By the early 2000s, there was a big pressure to produce books by getting five or six authors together to write books; one defunct publisher in particular was known for the Brady Bunch style of headshots that would touch on the latest semi-hot topic of the day.
In the couple of years since the election of 2016 there have been thousands of articles about the big cultural shift towards the empowered Heartland workers, the agrarian salt of the earth types, the good Christian, the coal miner. These visual essays as often as not are cinematically wrapped in sweeping panoramic vistas of golden waves of corn, purple mountains majesty, stallions rearing and bald eagles soaring.
Make this simple. The issue about the future of work is not about robots (or artificial intelligences) replacing human beings. It is about income security. Most people, when pressed, would be perfectly happy to not have to wake up every day, spend an hour on the road each way fighting traffic, deal with office politics or rude people or insane deadlines.
I’m writing this in response to a question posed to me, one I think is well worth pondering: Is AI antithetical to Democracy?
Data Scientists emerged about four years ago as THE must-have employee. Everyone in tech scrambled to brush off the old statistics books from courses they’d taken in college, spent some serious time relearning Python Pandas and R, learned the latest in Machine Learning theory, and bought new lab coats for good measure. I know I did.