Last week.  Churchill Club.  Tech Trends event.  You had to be there.  The name of the game was Steve Jurvetson’s prediction that machine learning will power everything and innervate the economy.

The event explored the trends that aren’t obvious today and predicted their explosive growth in about five years’ time.   Five omniscient VC’s from Forbes’ 2013 Midas List of the world’s most successful venture capitalists shared what’s on their spinning-straw-into-gold minds to predict and evaluate tech.

A cool branch of artificial intelligence, machine learning is about the construction and study of systems that can learn from data. A machine learning system can monitor your driving patterns through your GPS or phone.  Do you prefer freeway travel, or do you stick to side streets?  Using machine learning, your GPS will naturally guide you using your preferred method of travel.

But hold up.  It will innervate everything?  75 percent of the audience members saw this as a trend, making it the least contested and most supported prediction of the evening. 

Catherine Afarian, PR manager for 23andMe, agreed.  As an example, 23andMe wickedly uses applied machine learning algorithms to genetics.  As a result, the company has set new technical standards for genetic ancestry analysis. This has enabled the company to move from reporting on just three major world regions of genetic ancestry for each customer to 18 different world regions. Bottom line:  the more customers 23andMe gets, the more data the Ancestry Composition tool has and the “smarter” and more accurate it will become.  The company expects to add more regions soon.  In some cases, it already has the ability to tell customers which specific countries of origin are reflected in their DNA.

It seemed like this tech trend bled into many of the other trends that were mentioned.  Personalized medicine, the use of big data in the role of the “right now” economy, and even the discussion about cyber-security threats (the use of our data against us).

According to Jurvetson, “you can’t control what you make, but you can control the process by which you make it.”