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RavenPack Research Symposiums have consistently provided data-driven finance professionals with riveting forward-looking content, new research and insights, and practical use cases from industry leaders and top scholars.

Today, the field of language AI is at an exhilarating turning point, on the cusp of transforming the financial industry and spawning new multi-billion-dollar markets.

This year's RavenPack symposium brings together top experts in natural language processing, quantitative investing, and machine learning to explore how firms can leverage new language models to not only generate alpha and better manage risk, but respond to calls for more socially responsible investment practices.


The agenda of the symposium will cover the latest developments in Language AI including:

When to use Machine learning
Effective ESG
Going Further with Job Data
Strategies for thematic Investing
The era of macro nowcasting
Building infrastructures for data science