Machine Learning (ML)

As technology becomes more accessible, the idea becomes the focal point, not the effort it takes to arrive at the solution.

And if the goal is to analyze and compute things automatically, without people in the middle, then you can consider machine learning.

Machine learning is a subset of artificial intelligence that gives computer systems the ability to learn without being explicitly programmed. It is a way to extract useful patterns from data with as little human effort as possible.

This has led to huge efficiency gains in various sectors, such as healthcare and finance. And if we have enough reliable data available, we can also apply it in our industry.

It starts with always asking good questions and getting good data. The hardest part is the practical application of the method. Digitizing information is at the heart of what drives innovation. The catch is that without proper digitization, AI and thus machine learning is worthless.

But if you do it right with the right software, a person with an idea can come up with a solution in less and less time. Moreover, hardware and computing power enable efficient and effective large-scale execution of these algorithms.

Here is a nice explanation in a YouTube video:

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