Banking + Payments

How AI is reshaping banking: personalized services, fraud detection, operational efficiency, risk analytics, and practical steps for financial leaders.

Banks that fix fragmented data before deploying visible AI avoid scaled errors, meet compliance, and unlock multi-agentic systems that retain future clients.

A concise executive guide to how AI is reshaping banking: fraud prevention, hyper-personalization, efficiency, strategic priorities and what leaders must plan for next.

How AI is reshaping banking operations, customer experience, risk and compliance, with practical priorities for bank executives and fintech leaders.

Finastra launches a cross-functional AI Centre of Excellence and appoints Chris McClellen as SVP and Group Head of AI to scale generative AI across its banking products.

Nordea will cut about 5% of staff under its 2030 plan, accepting short-term restructuring costs to capture AI-driven savings from 2028 and beyond.

Agentic AI promises autonomous fraud, liquidity and payments systems, but governance and testing gaps block scale. Learn how programmable guardrails and new validation practices can make autonomous finance safe and competitive.

How banks must secure data, apply context engineering, and set decision rights to scale agentic AI safely and compliantly.

Why banks should adopt AI-native platforms over AI-enabled systems. Real-time learning, autonomous decisions, data as an asset, security, governance and adoption steps.

How AI and behavioral biometrics are changing device risk assessment in banking to stop ATO and APP scams while keeping friction low.