The data-driven approach is an inseparable part of every successful business. Companies operating in the fintech industry are no different. What's more, a few organizations from this sector have mastered the art of continuously validating and improving all business-related ideas. All their decisions are based on a solid analytical approach instead of trusting guesswork.

Fintech response to COVID-19 When COVID-19 was declared a pandemic in March, it created mass uncertainty for both individuals and the market. Unemployment was on the rise and the stock market was declining. Fintechs, however, were able to leverage their existing skills and assets to assist businesses who struggled with financial liquidity during the crisis.

A mobile bank, a company fighting for ownership of your data as a human right, a pan-European online marketplace for savings and investments, and a drone insurance startup - we present the 10 hottest fintechs from Berlin right now.

From stock market swings and billions wiped off of the airlines, hotels, transportation revenues to drug, soap or iPhone replacement shortages – the coronavirus outbreak is taking its toll on many business aspects of life.  

Common in applications that range from risk management to cryptocurrencies, Python has become one of the most popular programming languages for Fintech Companies. Its simplicity and robust modeling capabilities make it an excellent tool for researchers, analysts, and traders.

An investing robo-advisor managing $15bn in assets, a challenger bank for teens, and a credit card without any fees accessible to people without a credit history - we present the 11 hottest fintech companies from NYC right now. New York City isn’t the greatest city in the world for Jeff Bezos, but it definitely is for a vast array of fintech companies that run their operations in the Big Apple. Close proximity to one of the most important stock markets on Earth definitely makes New York City a prime location for them. 

Behind any product, business strategy, or excellent idea, stand people - founders, C-level executives, high- and mid-level managers, or experts. Every once in a while, we invite them to share their challenges in Netguru’s format: “Three Things That Keep Me Up At Night”.

A mobile landing company operating from California on the Kenyan and Tanzanian markets, a big VC money receiver checking the creditworthiness of Africans, and a virtual bank providing services for customers on 11 African markets - we present the 10 hottest fintechs from Africa right now.

The insurance industry has always relied on data to calculate risk and come up with personalized ratings. Today, the sector is undergoing a profound digital transformation thanks to technologies such as machine learning.  Insurers are using machine learning to increase their operational efficiency, boost customer service, and even detect fraud. And there is a plethora of insurtech startups, eager to take a slice of an insurance industry. Here are 6 ways machine learning is transforming the insurance industry. ---------------------------------------------------------------------------------------- Note: this post has been updated, to reflect the progress of new technologies and business moves by companies mentioned in the article.  ----------------------------------------------------------------------------------------

The financial services sector is on the eve of a major transformation, and the driving force behind it is AI. Innovative applications for AI have already been found across areas such as credit scoring, regulatory compliance, customer experience, and portfolio management. Thanks to rapid advancements in technology, tasks that once took employees hours to complete manually, can now be done in a matter of seconds.