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Feb 12, 2021 9 min

Top 5 Financial Data Visualization Tools to Use in 2021

The finance industry produces tons of data. They help businesses conduct analyses, recognize trends, increase performance, improve their products and services, set realistic goals, and make informed decisions. However, it’s important not only to collect and process information but also to deliver it to readers in a simple and conceivable manner. It’s difficult to get…

fintech trends
Nov 26, 2020 7 min

Fintech Trends: What is Going to Change the Future of the Industry

Fintech has already brought multiple revolutionary solutions to our daily activities. At the same time, the industry players are not going to stop there – growth prospects for the market are immense. This time, we will reveal some of the hottest fintech trends so that you have a clear picture of how exactly this rapidly…

p2p mobile app
Oct 20, 2020 8 min

How to Develop a P2P Payment App

Mind-blowing statistics confirm that today’s mobile users are big fans of peer-to-peer payment apps (P2P) designed to speed up and optimize our everyday financial routine (money transfer, service payment, purchases, etc.). That is the reason why many businesses are trying to launch their own P2P payment solutions, but very often they have no idea how…

May 25, 2020 6 min

AI in Retail: How It Is Revolutionizing the Industry and What Benefits It Delivers

With the development of the digital environment, more clients are realizing how the digitization of retail helps save their time and money and want to benefit from the innovation and opportunities delivered by modern technologies. And not only is it true for online retail but also for traditional brick and mortar stores. Artificial intelligence solutions…

Machine Learning
May 14, 2020 7 min

How to Implement a Machine Learning Algorithm in Code

Practice makes perfect. That is so absolutely true about coding! Especially when it comes to machine learning and those algorithms that come with it. In this post we tried to cover some info on how you can be effective when implementing a machine learning algorithm and what conclusions you can draw from the coding process….