March 23, 2023
RavenPack's CEO, Armando Gonzalez, will discuss how important is quality training data for successful ML models and the impact of language AI on quantitative investment research.
As the Credit Suisse RavenPack Artificial Intelligence Index continues to illustrate the relevance of large language models for investors, RavenPack will be at the Credit Suisse Asian Investment Conference to present the latest findings of Language AI. One of the most prestigious financial leadership gatherings in Asia, the Hong Kong conference gathers prominent political, economic, financial and academic figures, and attracts investors, entrepreneurs, and business leaders seeking influential ideas and advice.
Peter Hafez, the Chief Data Scientist at RavenPack, will participate as a guest speaker in the panel From words to wealth — what is the impact of language AI on the investment industry?
He will talk about how recent breakthroughs in artificial intelligence (AI) and natural language processing can help investors make more informed decisions, by:
Predicting macro indicators such as inflation or GDP better and faster, with News Analytics.
Generating more alpha through Workforce Intelligence.
Capturing opportunities during Earnings season by tapping research-driven combinations of alternative datasets.
Contact us ahead of the event to meet with Peter and our representatives.
When: March 21 – 23, 2023
Where: Conrad Hotel, Hong Kong
See full agenda here.
Peter is a pioneer in the field of applied news analytics, bringing alternative data to banks and hedge funds. He has more than 15 years of experience in quantitative finance with companies such as Standard & Poor's, Credit Suisse First Boston, and Saxo Bank.
High inflation has returned in developed markets after decades of lying low. In our latest paper, we show how to build an inflation-based asset allocation strategy using sentiment data and we illustrate that sentiment-based strategies outperform models that depend merely on past observed inflation values.
This year's RavenPack Research Symposium brought two intense days of knowledge sharing in London and New York, from 25 top experts in natural language processing, quantitative investing and machine learning. Together, we explored how firms can leverage new language models to generate alpha, better manage risk and respond to calls for more sustainable investment practices.
Human capital is at the heart of value creation. Our latest research demonstrates how unprecedented workforce insights, sourced from over 200 million job postings, can generate more alpha.
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