Intelligent Document Processing (IDP) at Acodis

In this talk, Dr. Platscher will demonstrate how Acodis achieves intelligent document processing by leveraging Machine Learning to convert any kind of document into a structured data.

Apr 13, 2022, 4:00 – 5:00 PM

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Key Themes

Machine Learning

About this event

Small companies are under enormous pressure to innovate and stay ahead of their competitors. This is especially the case for startups that typically do not have an established customer base. However, Machine Learning research is resource-intensive and time-consuming, which makes it difficult for small businesses to conduct original research. In this talk, Dr. Platscher will illustrate how they approach this at Acodis and provide insights into their Machine Learning research by showcasing several hands-on examples of data extraction from documents.

About Acodis: Acodis is founded by three ETH Zurich graduates. Its mission is to transform any document in any language into structured data, thereby making valuable information, that is contained inside documents, available for automation tasks. Check out their platform at acodis.io. Acodis is hiring!

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When

When

Wednesday, April 13, 2022
4:00 PM – 5:00 PM UTC

Agenda

Welcome
Speaker session
QA

Speaker

  • Moritz Platscher

    Acodis AG

    Senior Machine Learning Engineer

Organizers

  • Sarper Melik Ertekin

    ETH Zurich

    GDSC Lead

  • Arthur Serres

    ETH Zürich

    GDSC Lead

  • Bahar Açılan

    ETH Zürich

    GDSC Lead

  • Simon Sure

    ETH Zürich

    Core Team Member

  • Annina Oswald

    ETH Zurich

    Core Team Member

  • Marcel Pokorski

    ETH Zurich

    Core Team Member

  • Nicola Stella

    Core Team Member

  • JB Conan

    Core Team Member

  • Léon Noirclerc

    ETH

    Core Team Member

  • Anna Stawiska

    Core Team Member

  • Athena Schumacher

    Core Team Member

  • Hugo Fabrègues

    Core Team Member

  • Eric Nerger

    ETH Zürich

    Core Team Member

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