The cloud above all


I never thought that when I started blogging again, I would write about the cloud for the third time.
It so happened that - perhaps because my company is already in the (Google) cloud, I was invited to "The Cloud made for Hungary" event.

Of course it was a buy our product type of presentation, but maybe a little bit more than that. Calling words like Big Data, Machine Learning (ML), artificial intelligence (AI), Google Cloud Platform (GCP) are slowly but surely starting to make sense and come together as a meaningful whole.

This is the way the world is going, whether we like it or not.

Some data from the presentations:

  • In Hungary we spend 49% of our working time doing things that could be automated. Of course, if we were to do this, the efficiency of our businesses would also soar.
  • All industries are moving towards digitalisation, so by 2021, medium and large companies will be partly or fully cloud-based serviceswill be used.
  • By 2022, all business innovation in 90% will be virtually cloud-based services is centred around.
  • Estimated amount of data currently available in the world 33 zettabyte. (Two triples and 21 zeros. 33 trillion gigabytes, just for clarity 🙂 This quintupling by 2025.

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.


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