Quantum computing


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Full disclosure: I am a big fan of the Showtime series Billions. The world of venture capitalism has never interested me very much, but the Machiavellian-type machinations of the main characters, as well as the cat and mouse games, appeal to my INTJ nature. One of the most interesting characters on the show is Taylor Mason, a mathematical whiz who applies their talents with laser-like precision to investment decisions. Quantum computing is playing a role of increasing importance in the story line, as Mason and their colleague develop a mathematically foolproof (they hope) method to assess investment risks and opportunities. Bobbie Axelrod, Mason’s employer, on the other hand, prefers to trust in his own very superior instincts and believes in the power of emotions and intuitions when it comes to decision making.  It will be interesting to see how the battle of mathematics versus intuition will play out in the remainder of the season.

All this serves as a preamble to this post by Lisa Morgan that discusses the growing importance of quantum computing, and why businesses need to embrace it. I’ve attended a few presentations on this topic, which I find fascinating. Morgan provides helpful explanations of quantum computing and provides useful references sources that businesses can consult to understand this concept further. Morgan provides links to a number of quantum computing sandboxes that can be used to get a feel for what this technology can accomplish. The horizon for full implementation of quantum computing is estimated to be ten years, which means that organizations need to start preparing for it now.


Answering questions with metadata


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This post by Robert Seiner discusses the various questions that metadata can answer in an organizational setting. Seiner posits that managing data, information, and knowledge will be the business driver. Seiner divides these questions into the following categories:

  1. Database Metadata
  2. Data Model Metadata
  3. Data Movement Metadata
  4. Business Rule Metadata
  5. Data Stewardship Metadata
  6. Application Component Metadata
  7. Data Access / Reporting Metadata
  8. Rationalization Metadata
  9. Data Quality Metadata
  10. Computer Operations Metadata

Seiner suggests that organizations ask themselves

  • can my company answer these questions?
  • what is it costing my company to answer these questions?
  • what is the results when we are not being able to answer these questions?

Under each of the 10 categories above, Seiner provides a comprehensive list of sub-questions, e.g., What databases exist? What is the physical name of the database where the data is stored?

The post is a long read, but well worth it, and is certainly something I will be recommending to my students in the next academic year.