Machine learning is a complex process. You build a model, test it in laboratory conditions, then put it out in the world. After that, how do you monitor how well it's tracking what you designed it to do? Arthur wants to help, and today it emerged from stealth with a new platform to help you monitor machine learning models in production. The company also announced it had closed a $3.3 million seed round, which closed in August.

If you follow technology news and trends long enough, a few statistics pop up again and again. One oft-quoted stat goes something like this: About 90 percent of the data in the world has been created in the last two years. Now, we've been hearing this factoid for years, so it's possibly time for some underemployed MBA to redo the math. However, the bottom line: There is a isht-ton of data out there today, and more and more companies are developing ways to corral and coax that information into valuable insights for a price. Combining these big data sets with artificial intelligence, specifically machine learning, has given birth to an entire industry of predictive analytics.