AI in Finance: Snowflake Expedition 2026 Recap for CFOs
Learn about Expedition 2026 sessions built for CFOs, from AI-driven close and forecasting to audit, tax and AI cost governance. Now available on demand.
AI/ML news, top picks, and generated innovation digests.
18 articles tagged with this keyword, sorted by most recent first.
Learn about Expedition 2026 sessions built for CFOs, from AI-driven close and forecasting to audit, tax and AI cost governance. Now available on demand.
Central Bank grants in-principle approval to new AI banking venture
Mastercard is partnering with the Mojaloop Foundation and AfricaNenda to bring AI fraud detection — and, more significantly, dispute resolution — to Africa’s account-to-account payment systems. Africa now runs 36 live instant payment systems across 31 countries, processing more than 64 billion transactions worth nearly $2 trillion in 2024. The gap being targeted Card payments [...]
Croatian founders and finance executives recently discussed a range of issues impacting Croatian startups at a conference attended by the country's startup and tech community.The issues discussed incl...
AI governance is becoming essential as automation moves into financial reporting. Executives face pressure to adopt AI faster, yet many organizations lack the data quality and controls needed to trust its output. Workiva Inc. is addressing that gap by applying established reporting safeguards to AI-assisted processes, but its research suggests corporate confidence has already moved […] The post Better controls clear a path for AI in finance appeared first on SiliconANGLE .
PayU’s Fraud Liability Protect combines AI risk assessment, dynamic authentication and fraud liability protection. The post PayU rolls out AI fraud protection tool for cross-border card payments appeared first on MEDIANAMA .
Enflame Technology, one of the major challengers to Nvidia in China, saw its share price surge 179 per cent in its Shanghai trading debut on Friday, giving the Tencent Holdings-backed artificial intelligence chipmaker a market capitalisation of 170.9 billion yuan (US$25.5 billion). The Shanghai-based company opened at 410 yuan, up from its issue price of 142.18 yuan. It surged as much as 234 per cent to 475 yuan during the day, before closing at 397 yuan. The performance reflects continued...
Why autonomous agents expose a new explainability problem in fraud detection The post What SHAP Can't Explain About Agentic AI Fraud appeared first on Towards Data Science .
Every CFO I talk to right now is under some version of the same pressure: the board wants AI, the business wants faster answers, and the finance team is often still reconciling spreadsheets. The promise of AI in finance is real. But so is the gap between that promise and what most organizations are able to deliver. I believe finance leaders need to be asking not simply, “How do we use AI?” but “What would make our data trustworthy enough for AI?” That distinction matters. AI-ready finance data is intentionally shaped for a specific business outcome, so we can trust what AI produces from it. In finance terms, it’s the difference between having transactions and being able to defend the numbers. Finance data is uniquely messy, and important Finance data is messy for rational reasons. We pull from multiple systems — ERP, CRM, payroll, procurement, planning tools, banks, data warehouses, and yes, still spreadsheets. We live through reorgs, acquisitions, new products, and chart of accounts changes. And when the business cannot wait, we create manual workarounds to keep moving. That complexity is the context in which we’re now being asked to use AI. It’s no wonder that so many initiatives stall. The non-negotiables of AI-ready finance data When Alteryx talks about AI-ready data , I translate it into a few non-negotiables. For finance leaders, this is where the concept becomes practical. Purpose-built, not “all the data” – AI-ready data should be scoped to the decision or workflow a…
Shares of Unitree Robotics surged 629 per cent above their initial public offering price to open at 1,100 yuan in their Shanghai trading debut on Wednesday, giving China’s best-known humanoid robot maker a market capitalisation of about 445 billion yuan (US$66 billion). The opening pop from its IPO price of 150.80 yuan gave way to a pullback later in the session, with the stock closing at 845 yuan. That still represented a 460 per cent gain on day one, leaving the company with a market valuation...
Bdr AI executes transfers and generates payment links, understands Kuwaiti dialect
Chipmaker CXMT surged more than fivefold on its Shanghai trading debut to become the largest mainland-listed company by market value as the artificial intelligence boom stokes demand for memory chips. The stock closed at 49 yuan, versus a sale price of 8.66 yuan. That gave the Hefei-based company a market capitalisation of 3.3 trillion yuan, surpassing Industrial and Commercial Bank of China. It traded as high as 55.03 yuan during the day on the tech-heavy Star Market. CXMT raised 57.92 billion...
ChangXin Memory Technologies (CXMT), China’s leading maker of dynamic random-access memory (DRAM) chips, saw its shares close up 466 per cent on their Shanghai trading debut, giving the company a market capitalisation of 3.28 trillion yuan (US$484.6 billion) and making it mainland China’s most valuable onshore listing. The semiconductor champion’s Monday debut saw unprecedented trading volume, with turnover exceeding 140 billion yuan as CXMT became the first mainland-listed stock to cross the...
Integrating machine learning models into our portfolio management setup completely changed how we evaluate financial market signals. As our fintech startup expanded internationally, finding reliable infrastructure to handle underlying digital assets became crucial alongside our AI models. Navigating the Paybis Homepage gave our technical team a transparent framework for managing global liquidity reserves smoothly. Combining AI-driven analytics with dependable transaction platforms keeps our operational strategy balanced and resilient
HSBC has entered a multi-year partnership with Google Cloud to develop and deploy artificial intelligence tools across its global operations. Announced at Google Cloud Summit London 2026, the agreement covers work in wealth management, financial crime risk management, and internal decision support. HSBC will work with Google Cloud and Google DeepMind engineering teams on AI […] The post HSBC expands AI banking partnership with Google Cloud appeared first on AI News .
In June 2023, the Monetary Authority of Singapore (MAS) launched the 8th edition...