Solutions by industry and area

Finance

We provide optimal infrastructure configuration and technical support to meet the unique AI utilization needs of the financial industry.

The financial industry
Challenges of AI implementation

As AI adoption increases, the financial industry faces unique challenges such as data confidentiality, compliance, and processing load.
Correctly understanding and resolving these issues is the key to successful AI implementation.

  • High-speed risk assessment and simulation calculation load

  • Ensuring transparency and compliance with the model

  • High-frequency data processing

  • Building a secure AI infrastructure

Advances in financial AI made possible by NVIDIA technology

We combine NVIDIA® GPUs, AI software, and simulation technology to build an AI platform optimized for financial workloads, simultaneously achieving faster speeds, improved accuracy, and improved operational efficiency.

Image of building a high-speed computing infrastructure

Construction of a high-speed computing infrastructure

The massive computing power of NVIDIA GPUs accelerates risk analysis and portfolio simulations, completing processes that previously took hours in just minutes.

AI model optimization (LLM/ML) image

AI model optimization (LLM/ML)

NVIDIA's AI optimization tools and libraries maximize the accuracy and performance of financial LLM and machine learning models, supporting smarter, more flexible decision-making.

Image of a secure AI execution environment

Secure AI execution environment

Enterprise-grade security and confidential computing enable highly reliable AI execution while protecting data, providing an environment where AI can be used with peace of mind.

Specific use cases in the financial industry

AI is being increasingly used in various areas of the financial industry. Below we will introduce some of the applications that are leading to actual improvements and advancements in business operations.

  • Accelerating large-scale data processing

  • High-speed inference for fraud detection and AML support

  • Optimization of market forecasting models (time series AI)

  • Personalized Investment Advice

  • Automatic summarization of regulatory documents and laws and regulations and compliance support

  • AI chatbot response for customer inquiries

Examples of AI use in the financial industry

This presentation will introduce use cases and solution examples in the financial industry. Through challenges, solutions, and results, you will gain a concrete understanding of how AI can be utilized.
For other information, please see here:https://www.macnica.co.jp/business/semiconductor/manufacturers/nvidia/events/reports/148228/

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