FINANCIAL SERVICES

Accelerating Financial Services With AI

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—and remote work solutions.

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.
NVIDIA Blog: AI-Powered Banks

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 to learn from vast amounts of data and respond quickly to market fluctuations. 

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.

NVIDIA Blog: American Express adopts NVDIA AI

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.

"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.

COMPUTATIONAL RISK

Accurate forecasting is essential for business performance. NVIDIA's AI platform accelerates the creation of models that financial professionals use to assess trends, identify risks and put prospective planning on a more informed footing.

ACCELERATED COMPUTING FOR TRADE

Faster processing ensures successful trade execution and higher turnover. GPU-powered hardware acceleration reduces latency to keep facilities competitive.

FRAUD DETECTION

The complexity of fraudulent activities, such as payment theft and money laundering, has evolved proportionately to advances in technology. Deep Learning (DL) significantly reduces false alarms in payment fraud. Because of the large amounts of customer data available, such as RAW transactions over time (RNN) and transaction summary vectors (RNN and CNN), companies can train artificial neural networks such as autoencoders and models to identify irregularities in transaction activity.

TALK AI

Natural language processing helps financial institutions personalise their customer experience and improve interactions. NVIDIA makes real-time conversational AI possible by optimising the training and inference performance of BERT, a popular NLP model.

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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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 to accelerate AI training. 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, Transfer Learning Toolkit for tuning deep neural networks (DNNs), and NGC™ 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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DO YOUR LIFE’S WORK FROM ANYWHERE

In financial services, seconds can be critical, so professionals, from bankers to traders, need powerful computing tools that work in real time—especially when working remotely with dispersed teams. Explore ways to digitally transform your organization and give your employees the ability to work effectively from wherever they are.

Remote WorkingVDIVirtual GPU Technology in VDI