Deliver Smarter, Securer Financial Services

Accelerating Financial Services With AI

Massive datasets. Perpetual market fluctuations. Remote workforces. Intelligent technology can address critical challenges within the modern financial services industry. Institutions can boost risk management, improve data-backed decisions and security, and enhance customer experiences with NVIDIA’s AI—including, deep learning, machine learning, and natural language processing.

  • Banking
  • Trading
  • Payments
  • Insurance
  • Fintech
AI Improves Credit For The Underserved

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.

Learn more about AI-Powered Banks

NVIDIA with OpenShift Completed the Most Calculations per Second in STAC-A2

nvidia-finance-stac-chart-2c50-d

STAC-A2.β2.HPORTFOLIO.SPEED

DGX A100 640GB - SUT ID NVDA210914 | 10-cloud-node cluster - SUT ID INTC210331 | New dual-socket server |

DGX A100 320GB - SUT ID NVDA200909

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.

In STAC-A2, NVIDIA with OpenShift set new records for market risk calculations, including fastest calculation time, delivering over 3X the throughput of peer systems. 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.

 Read Blog: NVIDIA Sets Records on the STAC-A2 Benchmark Risk Models
 Watch Webinar: Advancing the Trader of Tomorrow with AI
 Watch Webinar: Democratizing Low-Latency Network Adapters
AI can help banking firms better detect and prevent payment fraud

Payments

Transferring money to friends and family. Paying bills online. Using your phone to check out at the grocery store. Payments—online, mobile, in-store, business to consumer (B2C), and business to business (B2B)—power the global economy.

AI can help banking firms better detect and prevent payment fraud and improve processes for anti-money laundering (AML) and know-your-customer (KYC) systems. With NVIDIA GPU-accelerated machine learning and deep learning platforms, data scientists can deliver results in days, instead of the weeks more traditional methods require. Dmitriy Efimov, vice president for machine learning at American Express, attests, “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.”

AI in payments enables greater security and more transparency, creating a better experience for both firms and customers.

Read Blog: American Express Adopts NVIDIA AI to Prevent Fraud and Foil Cybercrime (October, 2020)
Watch Webinar: Deep Learning Powers Better Decision Making in Finance (63:16 Minutes)

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)

Insurance

Firms are moving beyond traditional claims management by embracing digital opportunities and adopting a fully analytics-driven approach. This includes using AI to automate claims handling for simple and clean cases, implementing AI-powered services to fast-track complex cases, and creating new digital services to increase customer satisfaction.

Watch Webinar: Advancing InsureTech with AI (55:25 Minutes)
nvidia-finance-fintech-2c50-d@2x

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 improved via conversational AI, and transactions are more secure because of deep learning fraud detection models. And that’s just the beginning.

Read Blog: How Leading Fintechs are Transforming the Industry with AI (April, 2020)

Get Ahead of AI Projects for the Future of Finance

Learn how NVIDIA and HPE are partnering to help AI teams in the financial services industry create the future of finance. Gain a competitive edge with an interactive video, an on-demand workshop on HPE GreenLake for MLOps, a podcast with NVIDIA and HPE industry experts, AI solutions guides, and more.

NVIDIA | Hewlett Packard
This is Enterprise Accelerated Computing

AI in Finance from Data Center to Cloud

Unprecedented Acceleration at Every Scale

In today's fast-paced markets, the ability to test and simulate model hypotheses with speed and accuracy can create revenue opportunities for financial institutions. The NVIDIA A100 Tensor Core GPU delivers acceleration at every scale for AI, data analytics, and HPC to tackle the toughest computing challenges in finance.

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Unprecedented Acceleration at Every Scale
AI provides powerful computing for Data Centers

Powerful Computing for Data Centers

Financial services customers require AI infrastructure that improves upon traditional approaches, which involves slow architectures that siloed analytics, training, and inference workloads. This approach created complexity, drove up costs, constrained speed to scale, and wasn’t ready for modern AI.

From edge to data center, Tensor Core GPUs are available from every major computer system and server manufacturer to accelerate AI training. NVIDIA DGX™ A100 and NVIDIA DGX™ systems are equipped with the DGX software stack for rapid AI deployment.

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Democratization—from Data Center to the Cloud

NVIDIA GPUs are available in all major cloud platforms worldwide. And NVIDIA’s software libraries and software development kits (SDKs) create a scalable solution that enables customers to deploy AI in the cloud, on their servers, or at the edge. These SDKs include NVIDIA® TensorRT™ for inference, TAO Toolkit for tuning deep neural networks (DNNs), and the NGC catalog for GPU-accelerated software containers. RAPIDS enables financial institutions to execute end-to-end data science and analytics pipelines on GPUs for better prediction accuracy. And with GPU-accelerated data science, organizations can run an exhaustive array of simulations, testing the robustness of their models and creating new financial opportunities

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Democratization—from Data Center to the Cloud

NVIDIA AI Consulting Partner Network

Service Delivery Partners have special expertise in the transformational business benefits afforded by deep learning (DL), machine learning (ML), and artificial intelligence (AI). Learn about the consulting services they provide, as well as impactful solutions specifically for critical use cases in finance like conversational AI, computational risk, and fraud detection.

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