- July 27, 2025
Additionally, finance leaders use AI for data analytics, revenue and predictive forecasting, decision-making to identify missed trends and patterns, as well as being trained to detect fraudulent activities and simplify regulatory compliance. The office of the CFO is going through a new phase of transformation driven by artificial intelligence (AI). AI impacts how finance teams complete daily tasks and operations, and it has the potential to do much more.
Though the way these companies make their money may seem straightforward, there’s more to it. If you’ve contacted your bank recently, there’s a good chance you’ve engaged with an AI chatbot or a voice recognition system.
In NVIDIA’s 2023 report, 72 percent of respondents said their company understood the ethical issues surrounding AI. And over 10 percent of NVIDIA survey respondents reported that sustainability, social and governance configure into their AI plans. “There’s an opportunity to leverage AI as a teacher that can teach at the pace of the individual,” deMayo says, potentially enabling cross-training and upskilling among current employees in addition to onboarding new workers. When companies seek to implement more technical AI solutions (e.g., building and deploying their own models), careful planning and consideration are essential for success. First, companies need to understand the problem they’re looking to solve and why they want to implement AI. In July 2024, Robinhood acquired Pluto Capital, which is a free trading platform that’s supported by LLM and other AI-powered tools to help users create and automate trading strategies, for an undisclosed sum.
Her team of researchers, engineers, and mathematicians help define JPMorgan’s approach to AI from an academic and research perspective. While her team doesn’t handle AI deployments at JPMorgan, they are at the forefront of exploring what is and isn’t possible with AI. As the former head of Carnegie Mellon University’s machine learning department, Veloso leverages her strong academic background to explore how AI can be used to fight financial crime, manage the bank’s massive data estate, and comply with regulations.
If you’re a business owner or individual looking at AI to become more efficient, start by understanding what your and your team’s strengths are and what parts of the current workflow could benefit from deeper automation. In an untapped space that’s yet to be regulated, ethics and compliance are hotly debated topics that haven’t been fully flushed out. In what feels like a matter of months, artificial intelligence has gone from buzzword to must-have technology. One insurance company that has embraced AI is Lemonade (LMND -4.91%), which has been an AI-based company since its launch a decade ago. AI lending platforms like those of Upstart and C3.ai (AI -1.95%) can help lenders approve more borrowers, lower default rates, and reduce the risk of fraud.
That technology helps make high-speed claims processing possible, allowing the company to better serve its customers. C3.ai says its smart lending platform helps financial institutions streamline their credit origination process and reduce borrower risks. For example, it promises a 30% reduction in the time required to approve a loan applicant. It’s also achieved a $100 million increase in application volume and loan acceptance yield. Other forms of AI include natural language processing, robotics, computer vision, and neural networks. Natural language processing and large language models (LLM) form the basis of chatbots like ChatGPT.
As Goldman Sachs’ chief information officer, Argenti defines the bank’s AI strategy and leads a 12,000-employee engineering organization. His AI-focused team applies applications that span improving client services, accelerating app deployment, and reducing manual efforts and costs involved in operational tasks. His first AI applications focused on helping software developers cut down on repetitive tasks like testing and making it easier to share, document, and summarize code within Goldman. He also launched an AI application to classify and categorize the millions of documents the bank receives and is experimenting with large language models to extract data from these documents for employees to take action more quickly and easily.
Founded in 1993, The Motley Fool is a financial services company dedicated to making the world smarter, happier, and richer. The Motley Fool reaches millions of people every month through our premium investing solutions, free guidance and market analysis on Fool.com, personal finance education, top-rated podcasts, and non-profit The Motley Fool Foundation. AI business analytics tools can offer analysts and decision makers insights derived from large and complex datasets, as well as automation for repetitive tasks, such as standardizing data formatting or generating reports. Predictive analytics can identify future trends and patterns from current and historical data. AI can quickly process large volumes of current and historical data, drawing conclusions, capturing insights, and forecasting future trends or behaviors. These can help businesses facilitate better decision making about customers, offerings, and directions for future business growth.
If you’re like many investors, you probably have a sense of what artificial intelligence is but have trouble defining it. Artificial intelligence (AI) is taking nearly every corner of the business world by storm, and companies are finding new ways to use AI in finance. Sales and marketing departments can use AI for a wide range of possibilities, including incorporating it into CRM, email marketing, social media, and advertising software. Generative AI can create all kinds of creative and useful content, such as scripts, social media posts, blog articles, design assets, and more. Astabatsyan said that fundraising for AI startups is “definitely not easy” because the expectations are “very, very high.”