Credit score is your multipass in the world of financial services. It helps you secure a loan, apply for a credit card, or rent an apartment. It’s a thread binding it all together in the intricate web of financial decision-making.

Today, the landscape of credit scoring is evolving, and it's not just about numbers and formulas anymore. AI, the powerhouse of modern technology, has woven its way into this domain, reshaping how lenders evaluate your creditworthiness.

In this article, I'll untie the workings of AI-powered credit scoring, explaining its benefits and challenges, algorithms, feature engineering, steps to build an AI-driven credit scoring system, and the coolest examples in Fintech. Find out how AI is revolutionizing an age-old system, changing how we access financial opportunities.

One exabyte, or 275 billion mp3s — that’s how much data US banks stored in 2020. And that number grows every year, pushing for faster and more efficient data processing and reporting.

Implementing data reporting requires careful planning, development, and integration to ensure that it meets the needs of both your business and your users. In the article below, you’ll find all the steps to implement data reporting into your Fintech product effectively.

AI-powered robo-advisors lure billions in assets and thousands of users. For sure, they are here to stay, flaunting personalized insights and automated portfolio management.

Let’s delve into the process of developing your own robo-advisor from scratch. As you finish reading this guide, you'll pick up the essentials needed to create a top-class financial tool that can analyze users' financial situations, provide tailored investment recommendations, and manage portfolios seamlessly.