MUFG Partners with OpenAI to Transform Banking with AI
MUFG is integrating ChatGPT Enterprise to streamline operations and create new AI-driven financial services. This move aims to make the bank more efficient and innovative in serving customers.
43 stories tagged Finance · page 2 of 2
MUFG is integrating ChatGPT Enterprise to streamline operations and create new AI-driven financial services. This move aims to make the bank more efficient and innovative in serving customers.
Robinhood now lets AI agents handle your trading and even make purchases with your credit card. This could make investing and shopping more hands-off but raises security concerns.
Some AI startups are inflating their Annual Recurring Revenue (ARR) to appear more successful, and investors often look the other way. This practice can mislead the public about a company's true financial health.
Researchers created FINESSE-Bench to test AI models on real-world financial tasks. This could lead to better AI tools for investors and financial professionals.
The Commodity Futures Trading Commission (CFTC) is using AI to monitor prediction markets like Polymarket for insider trading. This could make markets fairer and more transparent for everyday traders.
OpenAI has introduced a new version of ChatGPT that helps manage personal finances. Users can connect their bank accounts to track spending, subscriptions, and investments in one place. This is a significant step towards AI-powered financial management.
OpenAI is introducing a feature that allows ChatGPT to connect directly to your bank accounts through Plaid. This move aims to streamline financial management but raises significant trust and security questions.
OpenAI's Codex can help finance teams automate tasks like building monthly business reviews and financial models. This saves time and reduces errors in financial reporting.
OpenAI has introduced a new personal finance feature in ChatGPT for Pro users in the U.S. This allows users to securely connect their financial accounts and receive AI-driven insights tailored to their financial goals. The feature aims to make managing money easier and more intuitive for everyday users.
Google is launching its AI-powered Finance tool across Europe. This update brings local language support and powerful features to help users manage their money. The tool is designed to make financial planning more accessible and intuitive for everyday people.
Researchers have developed a specialized AI system for fraud detection and anti-money laundering. It's designed to handle complex financial data more efficiently than generic chat systems. This could make financial transactions safer for everyone.
Large language models (LLMs) often fail to adjust their responses based on how certain the information they retrieve is. This could have serious implications in fields like medicine and finance where accuracy is critical.
Researchers developed FinAgent-RAG, an AI tool that helps answer complex questions about financial documents. It can handle tables, text, and footnotes to provide accurate insights.
OpenAI and PwC are collaborating to help companies use AI agents to automate finance tasks, improve forecasting, and modernize the CFO role. This partnership aims to make financial operations more efficient and data-driven for businesses.
Kepler used Claude to create AI systems that can explain their decisions, which is crucial for financial services. This helps build trust in AI-driven financial tools. In plain English, it means AI can now show its work, making it more reliable for everyday banking and investments.
A new study found that better stop-loss and take-profit settings can significantly improve the performance of autonomous crypto trading bots. The research highlights the importance of systematic testing for exit strategies, not just entry points.
Researchers deployed 3,505 AI agents to trade real ETH, processing 7.5M inferences and $20M in volume. The study highlights the reliability of language-model agents in real-world financial markets.
Researchers introduced Deep FinResearch Bench to assess AI's financial research capabilities. The benchmark evaluates qualitative rigor, forecasting accuracy, and claim verifiability in investment reports.
Researchers introduce ReSS, a hybrid framework that merges symbolic and neural models to improve tabular data prediction. The approach aims to enhance both accuracy and human-understandable reasoning in high-stakes domains like healthcare and finance.