Tag: AI in Financial Services

Financial institutions are under growing pressure to modernise their technology, and one of the most important decisions they face is whether to move towards...

The Wolfsberg Group has published its second Statement on Effective Monitoring for Suspicious Activity, introducing a responsible transition framework to guide financial institutions as...

As financial institutions (FIs) see an influx of new customers, they are confronted with the dual challenge of growing their operations while maintaining strict...

Ultimus Fund Solutions has deepened its collaboration with data automation specialist Xceptor, enhancing client services, operational efficiency, and data accuracy across its fund administration operations.

Intellect Design Arena, a global leader in enterprise-grade financial technology solutions, has launched its IntellectAI Purple Fabric platform in the US market. The move...

Sanctions compliance has traditionally relied on name-based screening and public watchlists to flag potential threats, but as financial crime tactics evolve, this approach is no longer enough.

New York-based Button Finance, a FinTech company focused on home equity lending, has raised $5m in a Series A funding round to fuel its platform growth and technological expansion.

Designing seamless, secure, and user-friendly experiences in financial technology has always presented unique challenges. But with artificial intelligence (AI) becoming more deeply embedded in the design process, the landscape of FinTech UX/UI is undergoing a major transformation. AI is unlocking smarter, faster, and more tailored experiences for users—while reshaping the very role of the designer.

BNY has completed the implementation of Behavox Quantum, a move set to significantly bolster the financial giant’s compliance monitoring capabilities. The deployment marks a...

Responsible AI encompasses the ethical development and application of artificial intelligence, prioritizing transparency, fairness, and legality across its operations. For the financial sector, this means deploying AI technologies that are not only efficient but also equitable and devoid of biases, ensuring that individual rights are respected throughout their lifecycle.