Big data DS specialists can create models

All of them involve understanding large amounts of information. But if data analytics answers questions about the past (for example. About changes in the behavior of customers of an. Internet service over the past few years), then Data Science literally looks to the future.  that prict what will happen tomorrow. Including pricting the demand for certain goods and services. Why Data Science is for business Companies use statistics show Kaggle (a professional social network for data scientists). And according to IDC and Hitachi, 78% of enterprises confirm that the amount of information analyz and us has increas significantly in recent years.

Data Science regardless of the size of the business

Business understands that unstructur information contains Turkey Phone Number List very important knowlge for the company that can affect business results, the authors of the study note. Of course, data scientists cannot accurately prict the future of a company and take into account absolutely all possible risks. “All models are wrong, but some of them are useful,” said British statistician George Box ironically. However, Data Science tools serve as a good support for companies that want to make more inform and inform decisions about their future. How data scientists work To work with data, data scientists use a whole range of tools – statistical modeling packages.

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Neural network nes to be plann

Various databases special software. But, most USA CFO importantly, they use artificial intelligence technologies and create machine learning models (neural networks) that help businesses analyze information, draw conclusions and prict the future. Each such  built, evaluat, deploy, and only then proce to its training. “Now, according to our estimates, in the process of working on AI solutions, only 30% of the time of specialists is spent on training models. Everything else is for preparing for it and other routines, ” says David Rafalovsky, CTO of Sberbank Group, executive vice president and head of the Technology block. Anaconda, a company that develops products for working with data.

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