So here's the bottom line:

1. Turn everything into data. If he changes location (GPS), passes a camera (imaging), makes a decision (what he clicked on), hits a key, uploads a file, makes a call, stops in front of a shop window, orders a pizza from a yuzu. Or if the tree is growing and the child is sad. Really, everything. That would be the Big Data.

2. Collect and store. Upload your data to the (Google) cloud because it's cheap, because you don't need a separate security guard, access control system, server, power, you have exactly the capacity you need, but it's virtually unlimited, you don't need a separate helpdesk, version updates and it's integrated with a lot of services. And you can access it from anywhere at any time. Plus, it's all true. This would be the Google Cloud Platform.

3. Use an app (AutoML, BigQuery) - or write your own - which, based on unlimited and cheap computing power find patterns. For example, that the field of plants green and how densely they are spaced. This is a sample. The program should look for the differences, teach it what they mean so that later on it will be able to recognise the differences and show the results. This would be the artificial intelligence and within this Machine Learning.

4. Finally, we have arrived in the brave new worldthat companies know everything about everything and everyone and give us what we don't even know we want.

Many more examples could be cited, but the possibilities are endless, but they are also available.

The only real question left for me is how Hungarian programmers, decision makers, entrepreneurs get away from the chequered notebook and excel sheet?

I would also have liked to see a case study on this.