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.
I am a skeptic of machine learning. There, I've said it. I say this not because I don't think that machine learning is a poor technology - it's actually quite powerful for what it does - but because machine-learning by itself is only half a solution.
I work in a little town just east of Seattle, which appears to have developed its own strains of the coronavirus (Covid-19).
There’s a little secret that ontologists know that should make insurance companies, and that makes quite a few other people sweat more than a little bit. That secret is simple — insurance is not really all that complicated if you get all the quasi-standards out of the way.
Most people are uncomfortable with the idea that they can be programmed, a discomfort that can very quickly escalate to full blown denial. Yet there is ample evidence to show that such programming is remarkably (indeed, entirely too) easy, and anyone who is involved in media, social media, advertising or organized religion can generally lay out most of the basics. Call the people who engage in this social programming “social programmers”, or for brevity, “sogrammers”.