Financial Risk Management

DataFunSummit

Apr 7, 2025 · Artificial Intelligence

Bridging the Gap Between Large Models and Real‑World Applications with RAG and Agents

This article examines how Retrieval‑Augmented Generation (RAG) and multi‑agent technologies narrow the gap between large language models and practical deployment, highlighting their roles in operations automation, financial risk control, intelligent data governance, database localization, edge inference, and future AI‑driven solutions.

AI applicationsAgentsFinancial Risk Management

0 likes · 8 min read

Bridging the Gap Between Large Models and Real‑World Applications with RAG and Agents

DataFunSummit

Mar 24, 2025 · Artificial Intelligence

Large Language Models in Financial Risk Management: Applications, Challenges, and Future Outlook

This article examines how large language models are transforming financial risk management by mapping various risk categories to LLM capabilities, showcasing practical use cases across market, credit, reputation, operational, and anti‑fraud domains, while also discussing technical challenges, data‑space concepts, and future prospects.

Artificial IntelligenceData SpaceFinancial Risk Management

0 likes · 18 min read

Large Language Models in Financial Risk Management: Applications, Challenges, and Future Outlook

AntTech

Nov 19, 2021 · Information Security

Privacy Computing: Current Applications and Challenges in Finance, Healthcare, and Government

The 2021 China Internet Law Conference report shows that privacy‑preserving computation has begun pilot deployments in finance, medical and public‑sector domains, delivering fraud‑risk reduction, secure biomedical research, and collaborative power‑grid analytics, yet it remains in early stages and faces scalability, standards, and policy challenges.

Federated LearningFinancial Risk Managementdata security

0 likes · 7 min read

Privacy Computing: Current Applications and Challenges in Finance, Healthcare, and Government