After two dormant years, the fintech IPO market is showing signs of life. We examine which venture-backed players are likely to test public markets in 2026.
Embedded insurance is moving from niche experiment to structural advantage. Here's how fintechs are monetising protection at the point of sale.
Central banks worldwide are modernising RTGS infrastructure with 24/7 settlement, ISO 20022, and programmability. Here's what banks must prepare for.
From voice analysis to relationship mapping, AI surveillance now flags unauthorised trading patterns banks once missed for months or years.
Thought Labs, Mambu, and nCino are displacing legacy vendors at major banks. Here's what tier-1 institutions are actually buying — and why the migration wave is accelerating now.
From China's e-CNY rollout to Nigeria's eNaira lessons, CBDC progress varies wildly. Here's which central banks are genuinely ahead — and what they're learning.
Automated compliance systems are revolutionising how banks detect and prevent illicit activity, transforming regulatory enforcement across global markets.
Institutional investors face a growing choice between traditional cash equivalents and blockchain-based alternatives offering higher returns with novel risks.
AI-driven wealth management platforms are automating portfolio rebalancing, tax optimisation, and behavioural coaching. What's working—and where human advisers still matter.
Software companies are building payment and lending infrastructure directly into their products, bypassing banks entirely. The shift is accelerating in 2026 as regulatory clarity and API maturity
Financial institutions are increasingly turning to synthetic data to train AI models, circumventing privacy constraints and accelerating machine learning development without regulatory friction.
Voice shopping is reshaping commerce. Banks ignored it. Now Amazon, Google, and Apple control the fastest-growing payments channel—and financial institutions must act fast.
Machine learning fraud detection systems have evolved beyond pattern matching. By 2026, AI fraud detection now integrates graph analysis, synthetic identity mapping, and cross-institutional data sharing to catch fraud before it lands.
Voice shopping is reshaping commerce. Banks ignored it. Now Amazon, Google, and Apple control the fastest-growing payments channel—and financial institutions must act fast.
Machine learning fraud detection systems have evolved beyond pattern matching. By 2026, AI fraud detection now integrates graph analysis, synthetic identity mapping, and cross-institutional data sharing to catch fraud before it lands.
A new generation of lenders leveraging artificial intelligence and alternative data sources is fundamentally reshaping how small and medium-sized enterprises access capital, challenging traditional banks' century-old grip on the SME lending market.
As the global deadline for ISO 20022 adoption approaches, many financial institutions remain unprepared for the transition from legacy messaging standards, risking operational disruption and competitive disadvantage in an increasingly digital banking landscape.
Digital-native banks promised to disrupt traditional finance, but the path to sustainable profits remains elusive. As legacy lenders shore up their digital offerings, the competitive landscape is shifting in unexpected ways.
As merchants face mounting pressure to optimise conversion rates and reduce costs, payment orchestration platforms are dismantling the traditional single-acquirer model, ushering in an era of strategic processor diversification and real-time transaction routing.
Machine learning algorithms are fundamentally transforming how high street banks interact with customers, automating routine transactions while enabling hyper-personalised financial advice at scale. By 2026, institutions that fail to harness AI-driven capabilities risk losing market share to more agile digital competitors.
As artificial intelligence becomes embedded in financial advisory services, the risk of AI systems generating plausible but false information poses an existential threat to client trust and regulatory compliance. Financial institutions must implement robust safeguards to detect and mitigate hallucinations before they reach clients.
Fintech platforms are increasingly wrapping insurance products directly into their payment and lending offerings, creating new revenue streams while enhancing customer retention. This integration marks a fundamental shift in how financial services are bundled, challenging traditional insurance distribution models.
Voice-activated payments are moving from gimmick to genuine alternative to cards and apps, with major financial institutions betting that the technology can unlock a new era of frictionless transactions. Yet security vulnerabilities and consumer hesitation remain formidable obstacles to mainstream adoption.
Machine learning models trained on alternative data are reshaping credit decisioning — and the big banks are scrambling to keep up.
After years of cautious pilots, banks are moving mission-critical workloads to the cloud. The economics have become impossible to ignore.
PayPal, Visa, and several central banks are now settling real transactions in stablecoins. The window for incumbents to form a view is closing.
Regulatory technology has matured from point solutions into comprehensive compliance platforms. Here is what is worth evaluating right now.
Every SaaS platform wants to be a bank. The infrastructure now exists to make that possible, and the winners are moving fast.