Self-teaching algorithms will get better and better at making suggestions.
The speed and quality of those algorithms will get ever better.
Precision agriculture involves collecting massive amounts of data, more than any human can process, and applying various algorithms, self-teaching in nature, to achieve optimum outcomes.
Cheap sensors, cloud computing, self-teaching algorithms with feedback loops and sufficient cycles to test a large number of techniques.
This gives me confidence that, in the wisdom-seeking systems of the future, people will be willing to share data to make the algorithms better.
Algorithms get smarter, computers faster.
What's more, the algorithms used to make that recommendation are self-learning and will improve their suggestions over time.