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  • image

    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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  • ok

    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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  • image

    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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  • erp

    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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  • Ano detection

    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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  • platforme

    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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  • Abstract AI Representation Purple

    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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  • Customer churn with IA and Heka

    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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  • Clustering data for client from Heka

    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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