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    Global automotive expert

    Based in Italy, Silvia is a senior researcher who leads our data science team. Together with her team, she is responsible for the development of our cutting-edge research techniques, ensuring we find insights in automotive data. This includes inferential/predictive models, artificial intelligence, data mining techniques, and supporting statistical analyses.


    Silvia has expertise in computer vision, machine learning and statistical analyses. Her team has also been providing many contributions within the digital ingest area, applying artificial intelligence and large language models, helping process large volumes of data to produce useful insights for JATO customers.


    Silvia holds a PhD in biomedical engineering and has a Master of Science in information technology.

    Insights and inspiration

    The Road Ahead: Why AI is essential for modern dealerships
    22 April 2025
    The Road Ahead: Why AI is essential for modern dealerships
    AI is no longer a distant possibility; it’s an essential tool for dealerships aiming to thrive in a digital-first world.
    By Team JATO
    16 April 2025
    WLTP compliance made easy for leasing companies
    Many leasing companies often struggle with WLTP compliance due to fragmented data and varying formats from different OEMs. This complexity leads to inefficiencies, and difficulties in predicting costs and setting leasing rates.
    By Team JATO
    11 April 2025
    Border economics: New US tariffs challenge long-established automotive network
    The implementation of these tariffs risks directly affecting 42% of all vehicles sold in the US market, fundamentally altering the economic principles that have guided the industry in recent years.
    By Team JATO
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