OpenAI is rolling out a preview of a new personal finance feature inside of ChatGPT. Starting today, Pro users in the US can connect their financial accounts to ChatGPT in order to get more personalized advice from the chatbot. To hear OpenAI tell it, every month more than 200 million users already turn to ChatGPT for guidance on managing their money. By building a framework that allows those people to connect their accounts to its servers, ChatGPT can go from offering generic advice to helping those same users take actions that more directly improve their lives. The integration is made possible through a partnership OpenAI has signed with Plaid, which offers connections to more than 12,000 financial institutions, including banks like Citi and Chase, in addition to services like Affirm and Robinhood.

Real-world financial analysis involves information across multiple languages and modalities, from reports and news to scanned filings and meeting recordings. Yet most existing evaluations of LLMs in finance remain text-only, monolingual, and largely saturated by current models. To bridge these gaps, we present MultiFinBen, the first expert-annotated multilingual (five languages) and multimodal (text, vision, audio) benchmark for evaluating LLMs in realistic financial contexts. MultiFinBen introduces two new task families: multilingual financial reasoning, which tests cross-lingual evidence integration from filings and news, and financial OCR, which extracts structured text from scanned documents containing tables and charts. Rather than aggregating all available datasets, we apply a structured, difficulty-aware selection based on advanced model performance, ensuring balanced challenge and removing redundant tasks. Evaluating 21 leading LLMs shows that even frontier multimodal models like GPT-4o achieve only 46.01% overall, stronger on vision and audio but dropping sharply in multilingual settings. These findings expose persistent limitations in multilingual, multimodal, and expert-level financial reasoning. All datasets, evaluation scripts, and leaderboards are publicly released.

Phishing, a prevalent cybercrime tactic for decades, remains a significant threat in today's digital world. By leveraging clever social engineering elements and modern technology, cybercrime targets many individuals, businesses, and organizations to exploit trust and security. These cyber-attackers are often disguised in many trustworthy forms to appear as legitimate sources. By cleverly using psychological elements like urgency, fear, social proof, and other manipulative strategies, phishers can lure individuals into revealing sensitive and personalized information. Building on this pervasive issue within modern technology, this paper aims to analyze the effectiveness of 15 Large Language Models (LLMs) in detecting phishing attempts, specifically focusing on a randomized set of "419 Scam" emails. The objective is to determine which LLMs can accurately detect phishing emails by analyzing a text file containing email metadata based on predefined criteria. The experiment concluded that the following models, ChatGPT 3.5, GPT-3.5-Turbo-Instruct, and ChatGPT, were the most effective in detecting phishing emails.

Google this week unveiled a major redesign of Google Pay for Android and iOS. The app is meant to take on not just Apple Pay and Samsung Pay, but also PayPal, Venmo, and Mint all in one. Google also announced partnerships with 11 U.S. banks and credit unions to launch a mobile-first bank account service called Plex next year. Just like with health care, tech companies are becoming increasingly interested in banking. More competition in an industry that still hasn't embraced the internet, let alone the latest tech like artificial intelligence, is exciting.

CHICAGO, Ill., Sept. 10, 2019 (SEND2PRESS NEWSWIRE) -- Aclaro Inc., the game-changing Artificial Intelligence software company that provides disruptive technologies to the automotive, financial, and government sectors, announces a new Board Member and the release of Aclaro EcoSystem 3.0 (ES 3.0). With these announcements, Aclaro continues rapid advancement toward its overarching mission of helping lenders, dealers and consumers develop and nurture longer mutually beneficial relationships. Introducing New Board Member Peter M. Leger Aclaro has appointed auto industry expert Peter M. Leger as its newest Board Member. Leger is the founder and CEO of IVSG LLC, a provider of disruptive technology that empowers automotive retailers and original equipment manufacturers ("OEMs"). He and his team recently launched GlobalConnectPlatform (GCP3) and partnered with PickCloud/Googleto distribute the software to the global automotive retail sector.

This Privacy Policy ("Policy") constitutes an electronic record in terms of the Information Technology Act, 2000 and rules made there under. This electronic record is generated by a computer system and does not require any physical or digital signatures. This Policy is effective as of 23rd of May 2016. This Policy discloses the information gathering and dispensing practices for Arya and its affiliates, assigns, subsidiaries ("Arya") including without limitation the type of information about our Service's users that is gathered and tracked, how the information is used, shared or otherwise processed offline. This Policy also describes how cookies, web beacons and other related and/or unrelated technologies may be used in our offerings and products.

Enter Industry 4.0, where every sector matters.Economic Development Board Welcome to Industry 4.0, the new age where smart technology and smart appliances are moving us closer and closer to a fully digitized society. Potentially valued at almost $4 trillion by 2020, studies show that businesses everywhere will be able to benefit by embracing the fourth industrial revolution. What is Industry 4.0 ("i4.0") Industry 4.0 is not a new technology, nor is it a new business structure. It is our society's current trend of data exchange and automation in the creation and development of new technologies. It is simply an acknowledgement that technology had advanced so much since the 19th century, where we saw the beginnings of mass production.

Artificial intelligence (AI) presents a "huge opportunity" for media, healthcare and other companies when it comes to their financial health and how "people communicate and trade with each other," according to Gary Rapsey, global assurance disruption and innovation leader at PwC UK. Major advances are being made in healthcare today, with the help of AI, he said June 7 at the H2O World Conference. "When I contrast that with company health, however … little has changed in that space in the way that company health is both diagnosed and company health cured," he said. Unlike in the world of healthcare, the best technology isn't typically being used to help companies' accountants, he told the conference. He explained: "Accountants are there to tell the truth. They're there to keep businesses and the market honest. But the problem that we face today is multiple-fold. We have a huge explosion of data – some real, some not real…. We have information which cannot be contained within companies."

Enter Industry 4.0, where every sector matters. Welcome to Industry 4.0, the new age where smart technology and smart appliances are moving us closer and closer to a fully digitized society. Potentially valued at almost $4 trillion by 2020, studies show that businesses everywhere will be able to benefit by embracing the fourth industrial revolution. What is Industry 4.0 ("i4.0") Industry 4.0 is not a new technology, nor is it a new business structure. It is our society's current trend of data exchange and automation in the creation and development of new technologies.

Many CIOs have artificial intelligence (AI) on their radar. A recent survey by Genpact and Fortune Knowledge Group of senior executives found that 82 percent of respondents plan to implement AI-related technologies in their company over the next three years. Yet a few organizations are ready to realize the full potential of these technologies. The reason is clear, as AI presents a new approach to computerized models. Using pattern recognition, natural language processing (NLP), and computer vision, these machines are able to significantly increase predictive decision making and automate complex work.