Our publications

- 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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- Financial Services & Compliance
A step further with DocReview, our AI solution for extracting information from documents: processing tables

DocReview, one of Sia Partners' AI solutions, automatically reads thousands of documents of any format (pdf, scan, etc.) and extracts the key information they contain.

2024
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- Marketing & Sales
Open data in France, an opportunity for fine-scale prediction

While AIs continue to break new records, a quieter revolution is taking shape in the Big Data sphere: the open data revolution.

2024
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- Financial Services & Compliance
AI to automate regulatory analysis

Analysis of regulatory texts using a Pattern Recognition method in Python

2024
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- Financial Services & Compliance
OpenStreetMap: Using open data and guaranteeing "high-quality" data?

In this article, we explore the use of OpenStreetMap for extracting geospatial data and implementing an approach to enhance the overall data quality. We delve into the key steps of data extraction including selecting the area of interest, data collection, cleaning, and preparing data for future use.

2024
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- Financial Services & Compliance
Transform your document base into exploitable structured data

With Doc Review, upload your documents, ask questions and get answers

2024
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- Marketing & Sales
Anomaly Detection in Time Series

Anomaly Detection is becoming ubiquitous throughout all industries as one of the most important data science use cases to address.
An anomaly, or outlier, can be defined as a point that does not fit the pattern of the rest of the data or expected results. While there are many different origins to an

2024
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