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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 Suzuki of Ippu Senkin 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 |
The importance and capabilities of on-premise and local LLM for secure AI utilization in financial institutions
Mr. Suzuki gave us a practical introduction, including how to use cloud and on-premise systems.
Utilizing Generative AI in Financial Institutions and Reassessing On-Premises Environments
The key themes for generative AI in 2025 include "AI agents," "physical AI," and "return to on-premise." AI agents enable autonomous execution of business processes, while physical AI, combined with robotics, is accelerating its deployment in physical spaces. Financial institutions in particular are focusing on the use of generative AI in on-premise environments from the perspective of protecting confidential information. Amid persistent concerns about cloud environments, on-premise x local generative AI is becoming a viable option in terms of security, cost, and flexibility. In fact, the number of implementation cases is increasing both domestically and internationally, opening up new possibilities for business efficiency and automation.
Additionally, the following three points were cited as advantages of on-premise x locally generated AI:
・Security:
Because it is operated in a physically closed environment, the risk of information leaking to the outside is extremely low, allowing personal and confidential information to be handled with peace of mind.
Cost-effectiveness:
There is no pay-per-use charge, and initial costs have dropped significantly in recent years. In the long term, it can be operated more economically than the cloud.
・Customizability:
It is easy to connect to existing on-premise systems and allows for flexible design according to business needs.
The Use of Generative AI in Financial Operations and the Importance of On-Premise Environments
The use of generative AI in on-premise environments is progressing, with projects such as automating underwriting appraisals at life insurance companies and AI-generated minutes of bank sales records. Cloud computing is suited to real-time processing, while on-premise computing is suited to mass processing and high security, and it is important to use the appropriate technology depending on the business, he said.
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 Ippu Senkin 's Suzuki. If you missed it or attended the seminar and would like to watch it again, please take this opportunity to register!
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