AI Fast-Tracks Financing
AI and real-time data automate credit checks, speed mortgage approvals.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
3 Benefits of API Banking | Dreamfactory
Financial institutions around the world are embracing APIs to drive digital transformation, enable seamless communication across systems, and provide clients with secure, real-time access to banking services. Every time a customer taps a mobile banking app or interacts with an online financial platform, APIs (Application Programming Interfaces) make these interactions possible. In today's API-first financial landscape, these interfaces are no longer a luxury—they are a strategic necessity.
AI and the Future of Finance: Decoding Earnings Calls
In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Liam Hynes, Global Head of New Product Development at S&P Global Market Intelligence. They discuss how S&P Global Market Intelligence utilizes AI to analyze corporate earnings calls to guide and improve financial reporting. These insights help businesses enhance communication, refine executive performance, and predict market outcomes. The conversation also highlights the use of Snowflake Cortex AI platform and the importance of data-driven decision-making in the financial sector.
From Manual Mayhem to Automated Assurance: How Test Automation is Revolutionising Core Banking!
Gone are the days when core banking teams relied solely on long-winded manual test cycles, midnight war rooms and crossed fingers before a go-live. Today, the industry stands at the edge of a seismic shift, driven by the power of test automation. Having worked extensively in the complex and highly regulated world of core banking systems, we’ve seen this transformation unfold firsthand.
11 Financial Model Examples & Templates for 2025
Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. As a finance professional, you’ll need different types of financial analysis and modeling for different situations.
Why Software Testing in Financial Services is More Critical (and Complex) than Ever
For QA professionals in financial services, the pressure is unlike any other industry. Whether you’re supporting a multinational bank or a regional credit union, one thing remains the same: even the smallest software error can have massive consequences. A glitch in an online payment system could affect thousands of customers. A regression bug in account processing might trigger a compliance breach.
Key Takeaways from Accelerate: How Financial Services and Manufacturing Companies Leverage Data and AI for Measurable ROI
For many organizations across industries, the era of experimental AI has given way to the era of practical implementation. Even those companies still testing and evaluating AI solutions are shifting away from the art of the possible to focus more closely on what will soon produce measurable ROI. “It will no longer be enough for your organization to merely use AI to win the approval of company leadership,” says Samuel Lee, Product Marketing Director for Financial Services at Snowflake.
Banking Application Testing: Cost, Process & Timeframe
Banking applications are the backbone of the modern financial system. They manage billions of transactions daily, secure sensitive user data, and ensure seamless financial operations across the globe. Just as a high-performance car requires rigorous testing before hitting the road to avoid accidents and breakdowns, banking applications must undergo extensive testing to prevent financial losses, security breaches, and operational failures.
The Guide to Banking Software Development
Learn how financial institutions can build software that is secure, compliant, and meets the needs of digital-first customers.
FinTech Application Testing: Cost, Process & Timeframe
Imagine you’re building a high-speed train—one that needs to get passengers (or in this case, financial transactions) from point A to point B in record time, with absolute precision, and without a single glitch. Now, would you let that train run at full speed without rigorous safety checks? Not. The same logic applies to financial technology (FinTech) applications, where even a minor bug can result in security breaches, compliance failures, or financial losses running into millions.