Once next-gen software inevitably becomes outdated and degrades into a legacy system at some point. This transformation is unavoidable and can have harmful consequences, even threatening the future of your business. In the finance industry, where any chunk in the armor can quickly turn into a fatal security breach, neglecting the modernization of legacy systems can be a risky gamble.

In this article, I will tackle this issue and provide solutions to overcome the most difficult challenges associated with legacy software. By modernizing your outdated systems, you can reap the benefits of new opportunities. Learn how to break free from legacy software issues and move your business to the next level.

Thanks to Fintech, the world of finance has seen significant improvement. The use of technology allows you to automate processes, reduce risks and simplify money management.

Fintech covers many segments and directions. Let’s get a quick overview of the subtleties of the most prospective of them. I’ll start with what Fintech is, what it does, and the main directions of its development.

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.