Accelerate financial services with AI.
Massive data sets. Perpetual market fluctuations. Remote workforces. Intelligent technology can address critical challenges within the modern financial services industry. With NVIDIA’s AI—including deep learning, machine learning, and natural language processing (NLP)–institutions can boost risk management, improve data-backed decisions and security, and enhance customer experiences.
Dive into the data compiled from a survey of over 500 financial services professionals from around the world. Discover the trends, challenges, and opportunities that will define the state of AI in financial services in 2023.
In this new ebook, explore how leaders in financial services, such as American Express, BNY Mellon, and PayPal are cutting costs using NLP for fraud prevention.
Accelerated Computing for Trading
Faster processing results in smarter trade strategies, more successful trade execution, and increased revenue. GPU-powered hardware acceleration decreases time to insight, allowing operations to remain competitive. With NVIDIA technology, financial institutions can harness the power of AI and high-performance computing (HPC) to learn from vast amounts of data and respond quickly to market fluctuations.
Building the AI-Powered Bank
Financial institutions are adopting AI to deliver smarter, securer services. GPU-powered AI solutions can centralize data to drive deeper, more holistic insights, offload routine tasks from employees with automation, accelerate risk calculations and fraud detection, and enhance customer service with conversational AI and more accurate recommender systems.
Fraud Prevention With End-to-End Data Science
Accelerating data analysis allows businesses to achieve results faster while being more cost-effective. Many financial institutions are turning to machine learning to boost fraud detection accuracy, reduce false positives, and improve compliance with AML and KYC regulations.
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.
Explainable AI in Modern Fintech
Fintech is driving global innovation that is transforming how companies, consumers, and money interact across industries, from financial services to retail to transportation and beyond. Utilizing AI, fintech interactions are more personalized with recommendation engines, self-service is enhanced via conversational AI, and transactions are more secure with the use of deep learning fraud detection models. And that’s just the beginning.
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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% 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.
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:
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.
Talkmap is a revolutionary conversational intelligence and automation platform that a world-leading fintech company used to automate their large data science team’s two-year effort, delivering:
Applica reduces the human effort necessary for scrutiny and comprehension of documents by up to 90%. Compared with manual document processes, Applica boasts:
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)
As more companies adopt conversational AI, empathy plays a larger role in the customer experience – and, ultimately, growth factors like profitability, customer retention and brand equity.
— Helen Yu, Global Influencer and Podcast Host
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
Deutsche Bank announced a multi-year innovation partnership with NVIDIA to accelerate the use of AI and machine learning in financial services.
Access on-demand content from Money 20/20 to hear from leaders in the industry and experience AI demos in the product innovation area.
Learn about the AI and HPC hardware, software, and networking solutions for financial institutions.
NVIDIA RAPIDS can accelerate data science pipelines up to 4X faster at less cost with no code change. 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.
NVIDIA’s 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 Triton™ Inference Server software optimizes the deployment of trained deep learning models to help investors generate better insights in real time.
With NVIDIA’s AI platform, financial institutions can harness the power of 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 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 the NVIDIA Riva SDK to communicate with customers effectively.
NVIDIA Merlin™ recommends the next-best action the call center agent should employ to cater to customers needs and offer them personalized services.
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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