Artificial Intelligence (AI) is changing our world, or the way we apprehend it. It is changing the way we search, the way we learn, the way we work, hopefully for the better. AI Food for Thought (AIF4T) is a humble attempt to provide updates on some of the developments in the AI world, which will hopefully provide you with some new ideas on the topic. This blog is brought to you by the Systematic Equities team at RAM Active Investments.
Our Team
CIO & Head of Systematic Equities
Emmanuel Hauptmann
Emmanuel Hauptmann is CIO and Head of Systematic Equities at RAM AI. He co-founded the company in 2007 and has led the development of the fi...
Senior Equities Portfolio Manager
Valentin Betrix
Valentin Betrix is Senior Fund Manager at RAM AI’s Systematic Equities team since 2013. He co-manages the various equity funds, focusing on ...
Senior Equities Portfolio Manager
Nicolas Jamet
Nicolas Jamet is Senior Fund Manager at RAM AI’s Systematic Equity team since 2016. He co-manages the systematic equity funds, working on th...
Senior Data Scientist
Tian Guo
Tian collaborates closely with Equity Portfolio Managers to design and implement innovative investment strategies. His primary focus lies in...
Quantitative Researcher
Louis-Alexandre Piquet
Louis-Alexandre Piquet joined RAM Active Investments in October 2019 and is currently a Quantitative Researcher on the Systematic Equities t...
AI Research Timeline
2015
- Machine Learning Methods Assessment: Decision Trees, Gradient Boosted Trees, Random Forest, SVM and Neural Networks.
2016
- Implementation of MXNet.
- Introduction of MLP (Multi-Layer-Perceptron).
2017
- Implementation of TensorFlow and PyTorch
- Start of the Manifold ML strategy
- First generation in-house GPU infrastructure
2018 – 2020
- AI consulting by François Fleuret (EPFL – University of Geneva)
2019
- Deployment of Bayesian Hyperparametrisation & interpretable AI.
- ‘Machine Learning: Financial Data Takes a New Dimension (RAM AI, 2019).’
- Second generation in-house GPU Server infrastructure.
2020
- ‘Predicting the Impact of ESG News with Deep Learning – ESG2Risk (RAM AI, 2020).’
- AI-based book optimisation and Stable Climate AI strategy launch.
- Introduction of INTNET (proprietary) and BERT/ROBERTA.
2021
- Deployment of ML OPS.
- Start of Newsflow Analysis.
- Third generation in-house GPU Server infrastructure.
2022
- FinBERT is introduced.
- Sustainable Finance Hack 22. Start of the Innosuisse project with ZHAW and UZH.
- ‘Go Beyond Sentiment: Stock Prediction Enhanced with Financial News (RAM AI, 2022).’
2023
Earnings Call Transcripts Analysis and Workflow Optimisation.
2024
- ‘Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow (RAM AI, 2024).’
- ‘Financial Sentiment with Large Language Models (RAM AI, 2024).’
- Fine-tuning of LLAMA 2, BertTopic for topic modelling.
- Ongoing Innosuisse collaboration, deployment of ESG trend analyser and greenwashing detection tools.