Machine learning is essentially about recognizing patterns in large amounts of data. It could for example be language recognition which we find in different types of "chatbots" or dialog robots, which currently appear on many websites. This variant of artificial intelligence is based on the collection and systematization of large amounts of data using probability calculations and algorithms. The use of rules, algorithms, and patterns is becoming more efficient and advanced every day.
As long ago as 1996, machine learning enabled the supercomputer Deep Blue to beat Russian chess grandmaster Garry Kasparov in a game of chess using basic pattern recognition.
At the time, the victory was a global sensation. Today, we encounter machine learning solutions based on pattern recognition every single day. For example, when the music service Spotify recommends new playlists for us based on our listening patterns, or when Amazon presents us with targeted offers based on previous purchases.
Cegal and ML
At Cegal, we have many consultants who have extensive experience of a range of ML and AI solutions.
Here are some examples of assignments we have carried out for our customers:
Solutions linked to map data which analyze the impact of environmental changes, e.g. on the development of flora and the tree line.
Development of solutions for condition analyses at sea and earth cables in the power distribution grid, to make it easier to determine which cables should be replaced first.
Solution for power generators, where weather and turbine data is organized so as to enable preventive maintenance to be carried out and the data to be used as a basis for the optimization of power generation.