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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

    15 October 2024
    How China is driving battery swapping as a service in the EV market
    Electric vehicles (EVs) have become a cornerstone of the global shift toward sustainability, and the demand for efficient and convenient charging solutions is rising as a result.
    By Team JATO
    15 October 2024
    Comparing apples and oranges: the challenges of analysing the electric vehicle market
    According to JATO Volumes data, in the last four years alone, battery electric vehicle (BEV) global market share has increased from 2.1% in Q1 of 2020 to 12.5% in 2024. When including all hybrid powertrains, electric vehicles accounted for 18% of all vehicle sales in Q1 2024.
    By Team JATO
    10 October 2024
    How JATO powers automotive decisions: a deep dive into the finance dataflow
    In 2022 alone, over 2,000,000 cars were purchased on finance across key markets in Great Britain, France, Germany, Italy, and Spain. As Original Equipment Manufacturers (OEMs) adjust to this shift, they must compare and price vehicles in ways that align with how consumers view affordability – primarily by looking at the monthly cost.
    By Team JATO
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