Blog: financial software development

7 FinTech API Use Cases Revolutionizing Financial Services
financial software development

7 FinTech API Use Cases Revolutionizing Financial Services

The number of fintech API calls is projected to surge nearly 500% from 2023 to 2027. This exponential growth reflects the rapid expansion of services driven by new open banking policies. In this article, we will delve into seven specific use cases of these APIs that are revolutionizing the financial industry in 2024, so you can stay ahead of the curve and see how top startups and enterprise companies alike leverage fintech APIs.

10 Open Banking API Use Cases Every FinTech Leader Must Know
financial software development

10 Open Banking API Use Cases Every FinTech Leader Must Know

The number of open banking API calls is forecast to grow from 102 billion in 2023 to 580 billion in 2027, signaling rapid expansion and integration of open banking services globally. This surge highlights the profound impact open banking is having on the financial industry, enabling unprecedented levels of financial transparency and competition. In this article, we will explore the top 10 use cases of open banking APIs.

10 Dos and Don'ts - Financial App Development [2024 Guide]
financial software development

10 Dos and Don'ts - Financial App Development [2024 Guide]

The fintech industry is experiencing massive growth, with the number of users globally engaging in digital payments expected to increase by over 48% in just the next five years. This growth isn't limited to digital transactions; it also includes a surge in new fintech companies and innovations driven by AI, advancements in open banking, and rising demand for mobile-first digital experiences.

Predictive Analytics in Finance - 10 Proven Use Cases
financial software development

Predictive Analytics in Finance - 10 Proven Use Cases

In this article we explore the top 10 proven use cases for predictive analytics in finance, demonstrating its power to not only predict future market trends but also to revolutionize investment strategies, risk management, customer engagement, and beyond. We’ll provide tangible resources to help your team embrace predictive analytics and transform data into strategic assets.

Generative AI in Finance Services - 10 Proven Use Cases
financial software development

Generative AI in Finance Services - 10 Proven Use Cases

The finance services sector is clearly not sitting on the sidelines of the AI revolution; they are embracing generative AI and actively piloting innovative generative AI initiatives across departments. And in this article we’ll take a closer look at 10 real examples of finance companies doing just that to inspire your own innovation in generative AI in finance services.

Python for FinTech — FinTech Projects and Use Cases
financial software development

Python for FinTech — FinTech Projects and Use Cases

FinTech is a combination of the terms "finance" and "technology." It refers to any business that leverages technology to improve or automate financial services and operations. Python comes in handy in a broad range of FinTech use cases. Its clear programming language syntax and amazing ecosystem of tools make it one of the best technologies.

How is Python Used in Finance? — Python Applications in Finance
financial software development

How is Python Used in Finance? — Python Applications in Finance

The finance sector is evolving daily, and now financial institutions are not only concerned with finance, but also with technology as an asset. Technology provides a competitive advantage as well as increased speed in the rate and frequency of financial transactions by financial institutions, among other things. Python is the most popular programming language in finance. Because it is an object-oriented and open-source language, it is used by many large corporations, including Google, for a variety of projects.