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The seminar held on June 24, 2025, "NVIDIA Financial AI Meet-up with Macnica-AI in your own hands. Practical companies discuss the use of financial AI," featured many industry professionals as speakers, providing an opportunity to share the latest developments in AI use in the financial industry.
In this article, we will introduce the content of the lecture given by Mr. Yamamoto of aiQ Co., Ltd.
At the end of the article, we have information about on-demand videos, so please read to the end.
Sponsor: Macnica
Sponsor: NVIDIA G.K.
| Lecture | Lecture title | profile | |
| 1 | GTC2025 Digest (Focusing on presentations from financial companies) |
Nvidia G.K. Senior Business Development Manager |
Hiroshi Hirahata Mr. |
| 2 | Strategic AI adoption and business-specific use cases |
SMBC Global Investment & Consulting Co., Ltd. General Manager |
Mr. Hirofumi Yamada |
| 3 | Utilizing the financial-specialized model FineNemotron | Senior Solutions Architect, NVIDIA G.K. | Mr. Xianchao Wu |
| 4 | The importance and capabilities of on-premise and local LLM for secure AI utilization in financial institutions | Representative Director and President of Ippu Senkin Co., Ltd. | Hideya Suzuki |
| 5 | Easily start building a local LLM with NVIDIA NIM | Macnica | Mr. Hitoshi Onodera |
| 6 | Expanding Use of Generative AI and Corporate Risks: The Need for AI Security |
Cisco Systems, Inc. Robust Intelligence Country Manager / Cisco Business Development Manager, AI |
Mr. Taiichi Hirata |
| 7 | Kaggle Grandmaster Accelerates Data Science with RAPIDS |
Nvidia G.K. KGMoN（NVIDIA Kaggle Grandmaster） |
Mr. Kazuki Onodera |
| 8 | Accelerating Trading Strategy Development Using RAPIDS and CUDA at a Quantitative Hedge Fund |
Okun Co., Ltd. Project Manager / Data Scientist |
Mr. Nobutaka Takeuchi |
| 9 | Automatic generation of analyst reports using generative AI: Improving accuracy through fine-tuning learning |
aiQ Inc. Representative Director and President |
Mr. Hiroki Yamamoto |
| Special lecture | Working with AI: Using AI to Scale Your Team Discussion Paper |
Financial Services Agency Counselor, Risk Analysis Division, Policy Management Bureau |
Ms. Hozue Igarashi |
Automatic generation of analyst reports using generative AI: Improving accuracy through fine-tuning learning
Mr. Yamamoto introduced us to "Analystant," an automatic generation service for analyst reports that utilizes generative AI.
This service is a SaaS-based tool that predicts stock prices based on news and financial data, and is capable of providing real-time information 24 hours a day, 365 days a year. Utilizing RAG and fine tuning, the Llama model in particular has improved prediction error from 7.9% to 5.2%. It has demonstrated high accuracy in backtests and its effectiveness has been confirmed in actual operation.
The main target audience is fund managers, buy-side analysts, individual investors, securities sales representatives, etc. It is also suitable for large funds that place particular emphasis on security and privacy, and is designed with local environment setup in mind.
Core technology supporting Analyst
The three main technologies used are:
・RAG（Retrieval-Augmented Generation）：
Utilizing real-time news to reflect the latest information.
Fine tuning:
Highly accurate predictions are achieved using 100,000 to 200,000 pieces of training data.
・Continued pre-learning:
The Llama model was trained with an additional 10,000 analyst reports.
Analyst's future developments and possibilities
He said that in the future, they are considering adding support for bonds and commodity futures, as well as linking with alternative data such as location information and POS data. Furthermore, by combining LLM with machine learning, they aim to provide a service that has the potential to surpass humans in the primary analysis of investment information.
The technology behind this is NVIDIA 's NeMo/NIM, which has successfully overcome the inference time issues that come with larger models by approximately six times (from 57.7 seconds to 9.3 seconds), greatly enhancing its practicality in the financial field, where real-time performance is essential.
Simply register to watch the video
If you register using the form below, you will receive a URL to watch the on-demand video of the seminar by aiQ 's Yamamoto introduced this time. If you missed it or attended the event and would like to watch it again, please take this opportunity to register!
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