Why Data Science is for business

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. Big data DS specialists can create models . Including pricting the demand for certain goods and services.  Companies use Data Science regardless of the size of the business, 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.

That prict what will happen tomorrow

Business understands that unstructur information Czech Republic Phone Number List contains 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, various databases, special software.

Phone Number List

Draw conclusions and prict the future

Most importantly, they use artificial intelligence technologies and create machine learning models (neural networks) that help businesses analyze information, . Each such neural network nes to be plann, built, evaluat, deploy, and only then proce to its training. “Now, according to our estimates, in the process USA CFO 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, gives even more sad statistics.

Leave a Reply

Your email address will not be published. Required fields are marked *