The rise of financial technology and digital payment solutions is helping the world go cashless. Cashless payment methods now cover a wide range of technologies – there are physical cards, online gateways, mobile apps, and digital wallets. Blockchain-enabled payments and cryptocurrencies are also on the rise. Methods are enjoying varying

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Google regularly gets voted as the best company to work for in USA – its employees get generous paid holidays, free food and are even encouraged to take power naps during the work day in those ‘nap pods’. Google has been providing an excellent workplace atmosphere to its staff –

The post Improving Employee Management using Big Data appeared first on Dataconomy.

Just a few years ago, enterprise organizations had to be convinced that Big Data was a real-world opportunity worth investing in. By 2016, 63% of those enterprise leaders were saying they considered Big Data and advanced analytics initiatives a necessity in order to remain competitive. This year started with even

The post Steering Big Data Projects in the Modern Enterprise appeared first on Dataconomy.

Artificial Intelligence, Machine Learning, GDPR, Building up a Data Science Team: Trends that impact every modern organization. What is the best way to deal with these challenges and become a successful data driven organization? For the third consecutive year, Big Data Expo and GoDataDriven conduct Big Data Survey: the international benchmark

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In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs. Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn’t stop at any given point; it keeps

The post Why Businesses Should Embrace Machine Learning appeared first on Dataconomy.

Linear regression is a basic tool. It works on the assumption that there exists a linear relationship between the dependent and independent variable, also known as the explanatory variables and output. However, not all problems have such a linear relationship. In fact, many of the problems we see today are

The post Performing Nonlinear Least Square and Nonlinear Regressions in R appeared first on Dataconomy.