Our publications

- Marketing & Sales
Use Anchor to better understand your Machine Learning model

Interpretability is becoming more and more important in AI. Here is a method to better explain models with ANCHOR.

2023
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- Marketing & Sales
Time series clustering

Overview of the various methods

2023
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- Energy transition
- CSR & Risk Management
French energy companies and digital transformation

Big Data, Smart Factory, Cloud... the advent of new digital technologies is perceived by companies as a source of competitive advantages, especially in sectors requiring operational asset management such as energy.

2023
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- Financial Services & Compliance
How to avoid GDPR issues using GAN (Generative Adversarial Networks)

With Big Data development, we have seen in those last decades the emergence of many issues raised by the massive use of data. In particular, personal data protection issues are pervasive for companies that store their customers’ data.

2023
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- Financial Services & Compliance
A journey to state of the art performances in topic analysis: Topic detection

This article tackles the methods that are currently most useful to address Topic detection and classification.

2023
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- Financial Services & Compliance
Synthetic data or how to share sensitive data while staying GDPR compliant

For a period of six months, 5 students from Centrale Supélec and ESSEC worked collaboratively with Sia Partners on building a Python library to create fake - which we'll call synthetic - data.
But what's the point of creating fake data? How could it help organizations?

2023
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- Financial Services & Compliance
Boosting search engine capabilities of RegReview: Introducing document multi-languages management

RegReview is an AI solution for compliance teams, to automate regulatory monitoring and processes, which brings together several tools, the most essential of which is a search engine operating on a compiled database of custom-built regulatory sources.

The database contains ~300k documents.

2023
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- Government
Labeling text clusters with keywords

We propose to explore several keyword extraction techniques to label text clusters obtained after a Text Clustering or a Topic Modeling pipeline. This work is following our previous articles about Topic Modeling and Text Clustering (here and here).

2023
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