Machine Learning is an AI discipline that is based on the ability of machines to train themselves from data made available to them
", explains Alain Blancquart. "
One of the main roles of AI is therefore to predict, based on mathematical and statistical approaches, the future, projects or even the future needs of a person, a company, a society…
”, he adds.
AI has nothing to do with divination insofar as it relies on a large mass of data to scientifically process the future,
" he emphasizes.
As a result, AI is an excellent tool that allows companies to make the best decisions for their growth and development.
Big Data and Small Data
Artificial intelligence comprises different sectors, including the big data that is talked about the most today. Indeed, as Alain Blancquart explains, “
Big Data is a field of specialists which refers to the collection of billions or even trillions of information
”. However, besides Big Data, we have Small Data which is much less talked about. They represent, in fact, all the data collected by millions of professionals in their daily work and on which they must rely to also make decisions for their business. To do this, "
they can use the same tools as in Big Data or refer to predictive modeling engines that are much simpler and easier to understand.
», Says Alain Blancquart.
TADA: the predictive analysis solution from MyDataModels
Aware of the difficulty of analyzing data, whether Big or Small, MyDataModels has developed a predictive modeling engine called "TADA".
Easy to use, it helps companies to enhance their Small Data thanks to AI without data science or coding skills.
Concretely, TADA explores the company's data then generates relevant, comprehensive and robust predictive models that can be exported, in one click, in C ++ or Python.
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