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Accelerate financial services with AI.
Massive datasets. Perpetual market fluctuations. Customer inquiries. Intelligent technology can address critical challenges within the modern financial services industry. With NVIDIA’s AI solutions—for generative AI, large language models (LLMs), data analytics, and more—institutions can optimize trading, detect transaction fraud, and enhance customer experiences.
Dive into the data compiled from a survey of over 400 financial services professionals from around the world. Discover the trends, challenges, and opportunities that are defining the state of AI in financial services in 2024.
Detect and prevent sophisticated fraudulent payment activities with high accuracy and reduced false positives using the NVIDIA AI workflow for fraud detection.
Harness accelerated computing for trading.
Faster processing results in smarter trading strategies, more successful trade execution, and increased revenue so firms can remain competitive.
Intelligent document processing with generative AI lets financial institutions gather insights from unstructured data, enabling faster decision-making and reducing the risk of financial losses.
With the NVIDIA AI platform, firms can learn from vast amounts of data and respond quickly to market fluctuations.
Enhance customer service with generative AI.
As the global service economy grows, 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.
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.
With NVIDIA’s fraud detection AI workflow, enterprises can augment their fraud detection using deep learning techniques, including graph neural networks (GNNs), allowing for real-time analysis and improved accuracy.
Featured
Two Sigma is enhancing trading strategies in capital markets with NVIDIA’s accelerated computing platform. Learn how the firm stays at the forefront of applying emerging technologies and uses AI to deliver predictive insights for investment management.
Webinars
Learn how to build and execute end-to-end GPU-accelerated data science workflows that lets you quickly explore, iterate, and get your work into production in this self-paced lab. Using the RAPIDS accelerated data science libraries, you'll learn how to apply a wide variety of GPU-accelerated machine learning algorithms to perform data analysis at scale.
In this free, self-paced course, get hands-on experience developing and deploying the NVIDIA Morpheus digital fingerprinting AI workflow, which enables 100 percent data visibility and drastically reduces the time to detect threats.
In this instructor-led, hands-on workshop, learn how to quickly build and deploy production-quality conversational AI applications with real-time transcription and natural language processing capabilities using NVIDIA Riva framework.
Join the free NVIDIA Developer Program to take a complimentary self-paced course.
Hear how modern machine learning techniques have become a key tool for financial and credit analysis at Capital One.
Learn how top players in the banking world are using AI, how their efforts have been impacted by the pandemic, and who should be doing what to further the use of this technology.
Hear about all things fintech, the importance of data scientists in communication, and where to draw the line between AI and humans.
Explore the latest trends for leveraging intelligent technology and explainable AI in fintech and the NVIDIA products and services supporting the industry.
Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.
Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities.
Learn how financial institutions and firms are using AI to optimize processes, reduce risk, and trim costs.
American Express is implementing a real-time fraud detection system with NVIDIA technology that operates within a two-millisecond latency requirement and delivers a 50X improvement over CPU-based configurations.
Drivers can get auto repair estimates in seconds instead of days with AI-driven insurance applications from CCC Intelligent Solutions with an assist from NVIDIA DGX™ Cloud and Base Command™ Platform.
Image courtesy of CCC
Wealthsimple
Wealthsimple turned to NVIDIA’s AI inference platform to accelerate time to market for their machine learning models—used to deliver white-glove experiences to wealth management clients.
We're training some pretty neat financial foundation models—with NVIDIA GPUs—that are improving payments performance for Stripe customers.
— Patrick Collison, CEO, Stripe.
AI, ML, and data will be a game changer in banking, and our partnership with NVIDIA is further evidence that we are committed to redefining what is possible for our clients.
— Christian Sewing, CEO, Deutsche Bank
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
Using NVIDIA GPU-powered image analysis and AI, we can identify damages, automate claims handling for simple and clean cases, estimate costs and identify fraudulent claims.
— Ping An (China’s Largest P&C Insurer)
NVIDIA GPU-accelerated computing makes it possible to use AI processing to accelerate payments, invoicing, and trade collaboration between businesses and offer a seamless user experience that’s at the same time secure.
— Efi Pylarinou, Global Fintech Influencer
Factories for complex data processing, AI, simulation, and visualization help the industry build resilient, sustainable, and profitable investment products/services in a customized, transparent, and explainable way.
— CFA Institute, Handbook of Artificial Intelligence and Big Data Applications in Investments
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, SVP and Head of AI Research, U.S. Bank
Detect and prevent sophisticated fraudulent payment activities with high accuracy and reduced false positives using the new NVIDIA AI workflow for fraud detection.
Stripe announced a new collaboration with NVIDIA that will advance AI for Stripe and improve fraud detection for its customers.
BNY Mellon has announced that it’s the first major bank to deploy an NVIDIA DGX SuperPOD™ with DGX H100 systems.
Learn about our sessions, fireside chats, demos, and networking events with leaders in banking and payments at Money20/20.
Explore NVIDIA's cutting-edge AI accelerated computing platform. Revolutionize customer experiences with NVIDIA NIM™ microservices, which enable efficient, scalable AI deployment for solutions in financial services.
The NVIDIA RAPIDS Accelerator for Apache Spark uses the NVIDIA AI platform to accelerate data processing by up to 5X and reduce costs by up to 4X.
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.
The NVIDIA HPC SDK allows for improved accuracy of risk assessments, accelerated time to market, and increased 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.
With NVIDIA’s AI platform, financial institutions can harness the power of generative AI and HPC to learn from vast amounts of data and respond quickly to market fluctuations.
AI-led applications are critical to the modernization and success of customer service in financial services, offering an opportunity to improve customer satisfaction and reduce costs.
Financial institutions can deploy generative AI models with NVIDIA AI Blueprints, whether they are for AI-powered chatbots or digital avatars to elevate customer interactions.
Our solutions for the Financial Services industry go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products and services.
Our experts can help your business unlock potential and unleash innovation.
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