 | SpringerFinLLMs2025: Finance and Large Language Models |
| Submission link | https://easychair.org/conferences/?conf=springerfinllms2025 |
| Poster | download |
Finance and Large Language Models
The editors of Finance and Large Language Models are pleased to invite you and your colleagues to submit a chapter for this volume, to be published in the book series of Blockchain Technologies by Springer Nature.
The advent of artificial intelligence (AI) agents and large language models (LLMs) is set to revolutionize the finance and trading sectors in unprecedented ways. These technologies bring a new level of sophistication to data analysis and decision-making, enabling real-time processing of vast and complex datasets with unparalleled accuracy and speed. AI agents, equipped with advanced machine learning algorithms, can identify patterns and predict market trends with a level of precision may soon surpass human capabilities. LLMs, on the other hand, facilitate the interpretation and synthesis of unstructured data, such as financial news, reports, and social media sentiments, providing deeper insights and more informed trading strategies. This convergence of AI and LLM technology not only enhances the efficiency and profitability of trading operations but also introduces a paradigm shift in risk management, compliance, and personalized financial services. As these technologies continue to evolve, they promise to democratize access to sophisticated trading tools and insights, leveling the playing field for individual traders and smaller financial institutions while driving innovation and growth across the entire financial ecosystem.
Please follow the Springer manuscript preparation guidelines (template): https://www.springer.com/gp/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation