Machine learning has existed for many years, but its use was only reserved for certain categories of companies because the computing power needed was not available and many did not yet have enough data to train algorithms.
With the advent of big data, computing power is no longer a real problem and there are impressive amounts of data available in open-source on the Internet to increase the company’s samples. It is no longer necessary to produce the data yourself and when databases do not exist, it is quite easy to create them with a little mischief and the appropriate tools.
Neos supports you throughout the entire chain, from the study to the integration into your information system, always working with agility to enable you to measure the value acquired for your company at each step.
First, it is necessary to carry out a first analysis of your data assets in order to verify their quantity, format and value.
Once the analysis of your data assets has been carried out and the conclusions established, we will define together the processes that will bring the most value to your business.
Then, we will execute the established strategy, monitor & measure the results on an ongoing basis. During this phase, we can also collect & integrate new reference values (growth of data sets via external sets) to increase the quality of the results if necessary.