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 moreDiscover why a context layer is crucial for AI agents in financial services, enhancing accuracy, compliance, and trust in operational workflows.
Explore the evolving role of AI in software development, highlighting successes and challenges with coding assistants, and the impact on junior engine...
Discover how smart architecture can minimise AI costs, focusing on efficiency and effective resource use rather than just cheaper models.
Discover the complexities of building AI applications and the essential considerations for successful implementation, governance, and architecture.
How AI reference architectures and capability models help enterprises adopt AI at scale, with stronger governance and clear strategic alignment.
Discover how AI is transforming payments, enhancing efficiency, compliance, and customer experience. Learn why banks must act now to remain competitiv...
Why vendor independence matters when designing AI for banks: keeping flexibility, control and long-term value as regulation and technology evolve.
Transforming compliance with Agentic AI: automate regulatory workflows, reduce compliance lag, and enhance real-time risk detection.
How Generative AI and the Icon Payments Framework (IPF) work together in AI payments solutions – and why AI alone is no magic bullet for development.
As with every paradigm-shifting technology, AI brings with it both game-changing opportunities, but also well-founded concerns.
Applications based on transformers, a type of neural network architecture optimised for natural language processing have captured interest in Gen AI
Icon co-founder Darren Capehorn, and Mark Brant, Chief Payments Officer at NatWest, caught up after Sibos in Beijing to compare notes.
A Celent survey shows 73% of corporate banks see revenue gains from advanced analytics, with AI and automation leading future investments.
A recent survey conducted by Celent found that 73% of corporate banks have reported clear revenue benefits from investment in advanced data analytics.
At the same time as the Chancellor’s Autumn Statement, a new report by HM Treasury was released – the Future of Payments Review report.