MLOps has become an integral part of Data Science operations. It aims to ensure that experiments are reproducible and production is managed correctly.

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The IPCC* was set up in 1988 with a mandate to assess the scientific, technical and socio-economic information available on climate change in a non-partisan, methodical and objective way. The latest report, published in March 2023, highlights the extent of global warming and the need to adapt to the expected...

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In the banking sector, recommender system use algorithms to examine customer information, including profiles, habits, product ownership and transaction history, in order to offer tailor-made advice. These recommendations can include financial products, savings, credit, insurance and more. The aim is to improve the customer experience, strengthen loyalty and increase sales...

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Responsible and trustworthy AI concerns the development and usage of AI that adheres to ethical standards, ensuring reliable, fair, transparent and privacy-friendly technologies. This implies AI systems designed to be secure, with mechanisms to prevent bias and enabling users to understand and control their operations. The aim is to ensure...

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In the banking sector, particularly at Group Credit Agricole, document processing poses significant challenges. To overcome these challenges, we have developed AI models that optimize and enhance our processes. In this context, we would like to highlight some of our innovative solutions that address this problem.

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In the banking sector, a significant challenge lies in extracting pertinent information from an extensive collection of documents. Indeed, banks amass an enormous volume of various documents, ranging from legal to other types. Expertise in these documents is crucial. However, manually combing through such document batches to find a specific...

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Here we describe some of our recent developments around generative AI

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In a world where access to information is increasingly free, Open Data plays an important role and is set to grow exponentially. Many areas can exploit the potential of this high-value data, particularly in the field of local banking. Indeed, such banks constantly deal with societal, economic, and demographic issues...

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Introduction Email processing is a critical aspect of modern communication, especially in business environments. It involves the extraction, classification, and management of information from emails. However, the process is not as straightforward as it seems, as it presents several challenges, including content segmentation, email theme classification, response generation, and email...

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Sentiment Analysis is an established task in the field of machine learning. With the emergence of new technologies, the community has continuously introduced novel approaches to perform sentiment analysis. This task remains crucial, as it is essential for automated text processing. At DataLab Groupe, we have developed our own sentiment...

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