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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, Macnica We will introduce the content of Onodera's lecture.
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 |
Easily start building a local LLM with NVIDIA NIM
Onodera introduced the technical support and services available for introducing generative AI.
NVIDIA's NeMo/NIM highlighted the ability to safely and efficiently operate generative AI while addressing concerns about open source.
NeMo
A set of Microservices that supports everything from the development to operation of generative AI, covering data preparation, model customization, evaluation, RAG construction, guardrail configuration, etc. It can be used safely when handling highly confidential data in the financial industry.
NIM
This inference SDK uses an OpenAI-compatible API, making it easy to migrate from existing apps. It supports both cloud and on-premise computing, and provides security-checked containers. It achieves high throughput through GPU optimization, making it suitable for enterprise use.
By utilizing both, it is possible to dispel concerns about open source while enabling safe and efficient operation of generative AI, which is particularly advantageous when implemented in on-premise environments.
Accelerating Generative AI Application Development with NVIDIA Blueprint
He also demonstrated how a reference workflow using NVIDIA Blueprint makes it easier and faster to develop generative AI applications. Blueprint provides pre-configured Docker Compose files for use cases such as chatbots, AI agents, digital humans, and video research and summarization. By utilizing these, users can skip the complex process of setting up environments and get started on application development right away. He also emphasized the flexibility of combining it with no-code/low-code tools such as Langflow to build generative AI solutions tailored to business needs without specialized programming knowledge. .
Finally, a RAG-type demo was exhibited, referencing the Financial Services Agency's Model Risk Management Principles, and no-code development in collaboration with Langflow was also introduced.
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 Macnica Onodera seminar introduced here. 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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