Losses Surge to €4.2 Billion. Europe’s latest payment fraud figures are stark. According to the joint 2025 EBA-ECB report, ...
Discover how AI-powered personalisation is revolutionising everyday banking by delivering hyper-personalised experiences ...
The Daily Overview on MSN
Credit card firms target a new group: people who pay too much
Credit card marketing used to revolve around people who carried balances and paid late. Now, the industry is quietly zeroing ...
The Daily Overview on MSN
Fed on alert as OpenAI warns of a massive bank-fraud wave
OpenAI's top executive is warning that artificial intelligence is about to supercharge bank fraud at a scale the financial ...
Overview AI agents will automate core banking workflows while assisting frontline teams.Hyper-personalized financial ...
Tech giants and fintech disruptors are competing for dominance as digital wallets evolve from payment tools into ...
For FinTech and digital platforms, this creates a different kind of opportunity. The consumer is not just online anymore. The consumer is curious, aspirational, and increasingly willing to take ...
The most immediate operational change is the fee charged for ordering an Aadhaar PVC Card. In an office memorandum dated January 1, 2026, UIDAI set the service rate at ₹75, up from ₹50, and its public ...
Japan Digital Agency Lists FY2026 Procurements for Mynaportal Support and Visit Japan Web Operations
In the agency’s listings, two new "Notice of Procurement (subject to WTO)" items are dated January 7, 2026. One seeks an operator for the Mynaportal help desk. The other covers operation and ...
People want to pay instantly, and fintech mobile payments are making that happen, cutting down on abandoned shopping carts.
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
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