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ACCELERATE FINANCIAL SERVICES WITH KI

Enormous data sets Constant market fluctuations Remote employees Intelligent technologies make it possible to address critical challenges in the modern financial industry. NVIDIA's AI, deep learning, machine learning and natural language processing tools enable organisations to optimise risk management, data-driven decision-making, security and customer experience.

IMPORTANT FINANCIAL SECTORS EXPANDED

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ACCELERATED COMPUTING FOR TRADE

Financial institutions are using AI to deliver smarter and safer services. WITH GPU-powered AI solutions, you can centralise 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.


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BUILDING A KI-SUPPORTED BANK

Faster processing ensures smarter trading strategies, more successful trade execution and higher turnover. GPU-powered hardware acceleration reduces time to insight so institutions can stay competitive.

With technology from NVIDIA, financial institutions can take advantage of AI and high-performance computing (HPC) to harness large amounts of data to respond quickly to market fluctuations.

PAYMENTS

Transfer money to friends and family Pay bills online Pay at the grocery shop 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.


Read blog article: American Express launches NVIDIA AI to prevent fraud and thwart cybercrime (October, 2020)

Watch Webinar: Deep Learning for Better Decision Making in Finance (63:16 minutes)

Versicherung

Companies are embracing digital capabilities and fully analytics-based approaches, moving beyond traditional claims management. This includes using AI to automate claims handling for simple and clean cases, implementing AI-powered services to process complex cases faster, and developing new digital services to increase customer satisfaction.


Watch the webinar: moving forward with AI (55:25 minutes)

"Using GPU-powered image analysis and AI from NVIDIA, we can identify claims, automate claims processing for simple and clean cases, estimate costs and identify insurance fraud."

- Ping An (China's largest property and casualty insurer)

Fintech

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, financial technology interactions are personalised 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 this is just the beginning.

"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, Vizepräsident für maschinelles Lernen, American Express

WORK ON THE TASK OF YOUR LIFE - IN EVERY PLACE.

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 widely dispersed teams. Discover how you can digitally transform your business and empower your people to work efficiently wherever they are.

KI IN THE FINANCIAL WORLD FROM DATA CENTRES TO THE CLOUD

UNPRECEDENTED ACCELERATION ON EVERY SCALE

In den schnelllebigen Märkten von heute kann das schnelle, präzise Testen und Simulieren von Modellhypothesen eine Umsatzsteigerung für Finanzinstitute ermöglichen. Der NVIDIA A100 Tensor Core-Grafikprozessor bietet eine bisher unerreichte Beschleunigung in jeder Größenordnung für KI, Datenanalysen und High-Performance Computing (HPC), um die schwierigsten Herausforderungen in der Finanzwelt zu bewältigen.

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POWERFUL COMPUTING FOR DATA CENTRES

For customers in the financial services industry, 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 centre, Tensor Core GPUs are available for every major computer system and server manufacturer to accelerate AI training. And NVIDIA DGX™ systems are equipped with DGX add-on software for rapid AI deployment.

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DEMOCRATISATION -
FROM THE DATA CENTRE TO THE CLOUD

NVIDIA GPUs are available on all major cloud platforms worldwide. In addition, NVIDIA software libraries and SDKs (Software Development Kits) 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 Networks (DNNs) optimisation 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 forecast accuracy. And with GPU-accelerated data science, organisations can run a full range of simulations, test the robustness of their models and create new financial opportunities.

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