Our publications

- Marketing & Sales
How do our ai solutions support the cosmetics industry in their major transformations?

Analysis of the impact of the 2020 anti-waste law, the agec law, in the cosmetics industry

2024
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- 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.

2024
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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.

2024
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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.

2024
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- CSR & Risk Management
Auto encoder and SHAP values: Detection and interpretation

Anomaly detection is the process of identifying irregular patterns in data. Its use is widespread, from fraud detection to predictive maintenance or churn detection. As a result, a whole branch of machine learning algorithms has been developed around these topics.

2024
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- Marketing & Sales
AI and new digital platforms

How to integrate Datascience into operational practices? The interest of digital platforms in data-oriented communities!

2024
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- CSR & Risk Management
SiaGPT for ESG

In order to promote sustainability and responsible development, respecting ESG criterias to regulate a company's impact on the environment, society and governance has become essential.

2024
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- Marketing & Sales
Customer churn prediction with Data Science

Thanks to Machine Learning, companies can significantly improve their activities by leveraging their data. Machine Learning is a field of study of artificial intelligence that gives an AI the ability to "learn" from data.

2024
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- Marketing & Sales
Understanding the customer purchase journey with visualization and clustering

Analyzing customer journeys, especially purchase journeys, is an essential step in marketing analytics to understand how customers perceive and interact with a brand's products and services.

2024
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