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Enormous data sets, constant market fluctuations, remote workers, and Intelligent Technologies make it possible to address critical challenges in the modern financial industry. With NVIDIA's AI, deep learning, machine learning, and natural language processing tools, organizations can optimize risk management, data-driven decisions, security, and customer experience.
Financial institutions are using AI to deliver smarter, more secure services. WITH GPU-powered AI solutions, you can centralize data to gain deeper, more holistic insights, free up your staff by automating routine tasks, speed up risk calculations and fraud detection, and improve customer service with conversational AI and more accurate recommendation systems.
NVIDIA with OpenShift performed the most calculations per second in STAC-A2
DGX A100 640 GB - SUT ID NVDA210914 | Cluster with 10 cloud nodes - SUT ID INTC210331 | New dual socket servers |
DGX A100 320GB - SUT ID NVDA200909
Accelerated computing for retail
Faster processing ensures smarter trading strategies, successful trade execution, and increased revenue. GPU-powered hardware acceleration reduces time-to-insight so that facilities remain competitive.
In STAC-A2, NVIDIA with OpenShift set new records for market risk calculations, including the fastest calculation time, and delivered throughput that was 3X higher than similar systems. NVIDIA technology enables financial institutions to harness the power of AI and high-performance computing (HPC) to learn from massive amounts of data and respond quickly to market fluctuations.
Transfer money to friends and family Pay bills online Pay at the grocery store with your smartphone Payments - whether online, mobile, in-store, business-to-consumer (B2C), and business-to-business (B2B) - drive the global economy.
AI can help banks better detect and prevent payment fraud and improve anti-money laundering processes and know-your-customer (KYC) systems. With GPU-accelerated machine learning from NVIDIA and deep learning platforms, data scientists can deliver results in a matter of days (rather than the weeks required by traditional methods).
AI in payments- for greater security and transparency. This provides a better experience for customers and businesses alike.
Companies are embracing digital capabilities and fully analytics-based approaches, moving beyond traditional claims management. This includes using AI to automate claims processing for simple and clean cases, implementing AI-powered services to process complex cases faster, and developing new digital services to increase customer satisfaction.
With NVIDIA GPU-powered image analytics and AI, we can identify claims, automate claims settlement for simple and clean cases, estimate costs, and identify fraudulent claims.
Ping An (the largest property and casualty insurance company in China)
Financial technology ("FinTech" for short) is driving global innovation that is transforming how businesses, consumers and money interact across industries - from financial services to retail to transportation and beyond.
Thanks to AI, interactions with financial technologies are personalized through recommendation engines, self-service is improved through conversational AI, and transactions are more secure due to deep learning models for fraud detection. The beauty is that all of this is just the beginning.
WORK ON THE TASK OF A LIFETIME - AT ANY LOCATION
Infinancial services, secondscan becritical,soprofessionals from bankers to tradersneedpowerful computing tools that workinreal time - especiallywhenworking remotely withwidelydispersed teams. Discoverhowyoucan digitally transformyourbusiness and empoweryouremployees to workefficientlywherever they are.
In our production environment, speed is of the utmost importance when it comes to decisions that are made in a few milliseconds. therefore, NVIDIA GPUs are the best possible solution for our purpose.
dmitriy Efimov, Vice President for Machine Learning, American Express
KI IN THE FINANCIAL WORLD FROM DATA CENTERS TO THE CLOUD
Unprecedented acceleration at any scale
In today's fast-paced markets, fast, accurate testing and simulation of model hypotheses can enable revenue growth for financial institutions. The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at any scale for AI, data analytics, and high-performance computing (HPC) to tackle the toughest challenges in finance.
For financial services customers, a platform for AI infrastructure is needed that improves on traditional approaches, which have been slow computing architectures isolated by analytics, training, and inference workloads. This approach created complexity, increased costs, limited speed, and was not ready for modern AI.
From the peripherals to the data center, Tensor Core GPUs are available for every major computing system and server vendor to accelerate AI training. And NVIDIA DGX™ systems are equipped with DGX add-on software for rapid AI deployment.
Democratization -from the data center to the cloud
NVIDIA GPUs are available on all major cloud platforms worldwide. In addition, NVIDIA software libraries and software development kits (SDKs) create a scalable solution that enables customers to deploy AI in the cloud, on their servers, or in the periphery. These SDKs include NVIDIA® TensorRT™ for inference, Transfer Learning Toolkit for deep neural network (DNN) optimization, and NGC™ for GPU-accelerated software containers. RAPIDS enables financial institutions to run end-to-end data science and analytics pipelines on GPUs to improve forecasting accuracy. And with GPU-accelerated data science, organizations can run a full range of simulations, test the robustness of their models, and create new financial opportunities.