Why AI agents need a context layer in financial services
Many banks have taken agentic AI to proof of concept, but far fewer have taken it into production. T...
Read moreMany banks have taken agentic AI to proof of concept, but far fewer have taken it into production. T...
Read moreAnother Sibos has been and gone. And now it’s time for the industry to digest and reflect on the int...
Read moreThis blog explores the EU's Instant Payments Regulation and key challenges for banks along with what banks can do to resolve them.
How the Bank of England approaches innovation in money and payments – wholesale, retail and cross-border – and why stability comes first.
Why ISO 20022 message structures are hard to report on, and how an ISO 20022 data model makes payments data easier to query and analyse.
Payments Canada's Real-Time-Rail (RTR) is the country's new real-time payment system, enabling account-to-account (A2A) money transfers.
Review key developments from 2023–24 and see how banks can position themselves for innovation, growth, and resilience in a changing payments landscape...
Financial crime compliance costs are rising as rules tighten. How banks can strengthen financial crime prevention and stop fraud faster, cost-effectiv...
Celent survey: 73% of corporate banks see revenue gains from analytics, with AI and automation leading future investment.
Instant payments, characterised by their speed and availability, are transforming the financial landscape across the globe.
What we learned upgrading every IPF component to Java 17 for IPF 2024.1 – from library compatibility to NoSuchMethodError and Maven plugin fixes.
Matt Piper, Head of Pre-Sales at Icon Solutions, explains why flexibility is key when it comes to future-proofing payments.
Post-NACHA Faster Payments Conference, Icon’s Arjeh van Oijen highlights key trends driving U.S. real-time payments rollout and adoption.
Ahead of NACHA’s Faster Payments Conference, Icon’s Arjeh van Oijen explores why real-time payments are a top priority for North American banks.
A Celent survey shows 73% of corporate banks see revenue gains from advanced analytics, with AI and automation leading future investments.
Financial institutions must have an efficient Reconciliation and Investigation (R&I) capability to minimise financial risk.
A recent survey conducted by Celent found that 73% of corporate banks have reported clear revenue benefits from investment in advanced data analytics.