See how AI is helping to build the smarter bank.
AI is transforming the way banks operate, helping them identify key insights in vast amounts of data, calculate risk, and automate routine tasks—all at unprecedented speed and scale. With NVIDIA’s AI solutions for generative AI, large language models (LLMs), data analytics, and more, banks can increase productivity, expand services, reduce risk, and dramatically improve customer service.
There are thousands of applications that AI-powered banks will enable in the coming years. Consequently, banks need a scalable infrastructure and strategic platform to digitally transform with AI.
Dive in to the data compiled from a survey of over 400 financial services professionals from around the world. Discover the trends, challenges, and opportunities that will define the state of AI in financial services in 2024.
Prevent fraud with end-to-end data science.
Financial institutions need to detect and prevent fraudulent activities, including identity theft, account takeover, and money laundering. AI-enabled applications can reduce false positives in transaction fraud detection, enhance identity verification accuracy for know-your-customer (KYC) requirements, and boost the effectiveness of anti-money laundering (AML) efforts.
The NVIDIA RAPIDS™ Accelerator for Apache Spark accelerates processing time up to 5X or more and allows the same work to be completed with 4X less infrastructure cost.
Enhance customer service with generative AI.
Banks are relying increasingly on contact centers to drive better customer experiences and operational efficiency. Banks can enhance customer interactions with generative AI-powered chatbots. Using retrieval-augmented generation (RAG), these chatbots can deliver more accurate, personalized, and sophisticated responses than traditional chatbot solutions.
Boost customer engagement with personalized banking experiences.
Banks are using recommender systems to drive every action consumers take, from visiting a webpage to prioritizing which debt to pay off first. With personalization, recommenders improve customer loyalty and satisfaction.
Marketing departments at banks are leveraging customer data to generate personalized recommendations, targeted advertisements, and tailored marketing campaigns. According to NVIDIA’s 2024 State of AI in Financial Services survey report, 34 percent of financial institutions are using AI solutions in their marketing.
For our production environment, speed is extremely important with decisions made in a matter of milliseconds, so the best solution to use are NVIDIA GPUs.
— Dmitriy Efimov, Vice President of Machine Learning, American Express
AI, machine learning, and data will be game changers in banking, and our partnership with NVIDIA is further evidence that we are committed to redefining what’s possible for our clients.
— Christian Sewing, CEO, Deutsche Bank
Even though the banking industry in general has been trying to get to the cloud, we see a great need in being able to do experiments on premises, and for that, we have a few DGX servers and they’ve been a great help in this journey toward a center of excellence.
— Soumitri Kolavennu, Senior Vice President and Head of AI Research, U.S. Bank
At Money20/20 Europe, we hosted sessions, fireside chats, demos, and networking events with leaders in banking and payments.
Explore NVIDIA's cutting-edge AI and accelerated computing platforms. Revolutionize customer experiences with NVIDIA NIM microservices, which enable efficient, scalable deployment of AI solutions in financial services.
NVIDIA RAPIDS can accelerate data science pipelines up to 4X faster at less cost with no code change. With data science, financial institutions can reduce false positives in transaction fraud detection and enhance identity verification for anti-money laundering, improving both the customer experience and the institution’s financial health.
With NVIDIA’s AI platform, financial institutions can harness the power of generative AI and high-performance computing (HPC) to learn from vast amounts of data and respond quickly to market fluctuations.
The NVIDIA HPC SDK helps organizations improve the accuracy of risk assessments, accelerate time to market, and increase revenue. Faster processing results in smarter trading strategies and more successful trade execution.
NVIDIA NIM, part of NVIDIA AI Enterprise, accelerates the deployment of generative AI, allowing organizations to train LLMs and seamlessly run AI inference at scale.
AI-led applications are critical to the modernization and success of customer service chatbots for call center environments, offering an opportunity to improve customer satisfaction and reduce costs. Financial institutions can build and deploy generative AI models with NVIDIA NeMo™ and develop custom speech applications with NVIDIA® Riva to communicate with customers effectively.
Find out how banks, fintechs, payments providers, and other financial institutions are using NVIDIA’s AI solutions to detect transaction fraud, enhance customer experiences, and optimize business operations.
Featured
Financial institutions—including Capital One, Intuit, and Block—are boosting risk management, improving security, reducing fraud, and enhancing customer experiences with NVIDIA AI.
European neobank bunq is taking on financial fraudsters with the help of NVIDIA accelerated computing and AI.
Dive into the data compiled from a survey of over 400 financial services professionals from around the world—including executives, data scientists, developers, engineers, and IT specialists. This year’s results reveal the trends, challenges, and opportunities that define the state of AI in financial services in 2024.
BNY Mellon has announced that they’re the first major bank to deploy an NVIDIA DGX SuperPOD™ with DGX™ H100 systems.
The digital landscape is plagued with identity theft, credit card fraud, and other schemes. GPU-powered AI, data science, and machine learning models are helping counter these problems
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