Pim Stouten

Pim Stouten

Roermond, Limburg, Nederland
2K volgers Meer dan 500 connecties

Info

A quarter century experience in the B2B data industry, focusing on the bigger picture:…

Services

Artikelen van Pim

  • DNR '22: online nieuwsgebruik

    DNR '22: online nieuwsgebruik

    Altijd de moeite van het lezen waard: het Digital News Report van het Commissariaat voor de Media. Vorige week…

  • Legal frameworks for partnerships & alliances...

    Legal frameworks for partnerships & alliances...

    Sharing is caring! A question in the LinkedIn Group for my Building Digital Partnerships and Ecosystems class (thank…

Activiteit

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Ervaring

  • longform.ai grafisch

    longform.ai

    Amsterdam-Zuidoost, North Holland, Netherlands

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    Netherlands

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    Netherlands

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    Heerlen, Limburg, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

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    Amsterdam Area, Netherlands

Opleiding

  • INSEAD grafisch

    INSEAD

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Licenties en certificaten

Publicaties

  • The 40 at 30: celebrating three decades of Jaguar's XJ40

    The 40 at 30 (crowdfunded, one-off publication)

    Commemorative illustrated book, celebrating the 30th anniversary of Jaguar's XJ40 saloon car.
    The publication contains contributions from over a dozen authors and photographers, including previously unpublished material.

    A crowdfunded one-off publication, made in collaboration with Simon Rahm who took care of page/book design.

    Andere auteurs
    Publicatie weergeven
  • NewsReader: Recording History from Daily News Streams (co-author)

    European Language Resources Association (ELRA)

    The European project NewsReader develops technology to process daily news streams in 4 languages, extracting what happened, when, where and who was involved. NewsReader does not just read a single newspaper but massive amounts of news coming from thousands of sources. It compares the results across sources to complement information and determine where they disagree. Furthermore, it merges news of today with previous news, creating a long-term history rather than separate events. The result is…

    The European project NewsReader develops technology to process daily news streams in 4 languages, extracting what happened, when, where and who was involved. NewsReader does not just read a single newspaper but massive amounts of news coming from thousands of sources. It compares the results across sources to complement information and determine where they disagree. Furthermore, it merges news of today with previous news, creating a long-term history rather than separate events. The result is stored in a KnowledgeStore, that cumulates information over time, producing an extremely large knowledge graph that is visualized using new techniques to provide more comprehensive access. We present the first version of the system and the results of processing first batches of data.

    Andere auteurs
    Publicatie weergeven

Cursussen

  • Anti Money Laundering (Nederlands Compliance Instituut)

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  • Basisleergang Good Governance (governance for CMOs)

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  • Financial Management (Alex van Groningen)

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  • Global Executive Orientation (LN)

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  • Innovation Leadership (?WhatIf!)

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  • Leadership Development

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  • Leading Change (LN)

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  • Lean Six Sigma Yellow Belt

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  • Management van Mensen (De Baak)

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  • Projectteam Management (De Baak)

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Projecten

  • QUINN - QUERY UPDATES FOR NEWS MONITORING

    - heden

    In the QUINN project a proof-of-concept is developed to support users of LexisNexis Publisher in keeping the topic queries up to date by providing them with timely suggestions for query modifications. The suggestions come from: (1) analysis of the news stream in order to find changes in topics (e.g. new names or new terminology) and (2) analysis of the documents from the stream that were viewed and selected by the user. For the development of the product we use the results from SWELL related to…

    In the QUINN project a proof-of-concept is developed to support users of LexisNexis Publisher in keeping the topic queries up to date by providing them with timely suggestions for query modifications. The suggestions come from: (1) analysis of the news stream in order to find changes in topics (e.g. new names or new terminology) and (2) analysis of the documents from the stream that were viewed and selected by the user. For the development of the product we use the results from SWELL related to terminology extraction for user modelling.

    Andere bijdragers
    Project weergeven
  • Metadata Extraction Services

    - heden

    A multi-disciplinary R&D project, funded by the dutch government.
    Key goal: extraction, integration and exploitation of rich metada from audiovisual information, including OCR (subtitles), speech-to-text, picture recognition and text mining.

    LexisNexis' role in the project consortium mainly consisted of building use cases and the business case, as well as collaborating with the other consortium partners (TNO, amongst others) to deliver a working prototype and perform user testing &…

    A multi-disciplinary R&D project, funded by the dutch government.
    Key goal: extraction, integration and exploitation of rich metada from audiovisual information, including OCR (subtitles), speech-to-text, picture recognition and text mining.

    LexisNexis' role in the project consortium mainly consisted of building use cases and the business case, as well as collaborating with the other consortium partners (TNO, amongst others) to deliver a working prototype and perform user testing & evaluation.

    Andere bijdragers
    Project weergeven
  • NewsReader

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    Problem addressed:
    The volume of news data is enormous and expanding, covering billions of archived documents and millions of documents as daily streams, while at the same time getting more interconnected with knowledge provided elsewhere. Professional decision-makers that need to respond quickly to new developments and knowledge or that need to explain these developments on the basis of the past are faced with the problem that current solutions for consulting these archives and streams no…

    Problem addressed:
    The volume of news data is enormous and expanding, covering billions of archived documents and millions of documents as daily streams, while at the same time getting more interconnected with knowledge provided elsewhere. Professional decision-makers that need to respond quickly to new developments and knowledge or that need to explain these developments on the basis of the past are faced with the problem that current solutions for consulting these archives and streams no longer work, simply because there are too many possibly relevant and partially overlapping documents and they still need to distinguish the correct from the wrong, the new from the old, the actual from the out-of-date by reading the content and maintaining a record in memory. Consequently, it becomes almost impossible to make well-informed decisions and professionals risk to be held liable for decisions based on incomplete, inaccurate and out-of-date information.

    Our solution:
    NewsReader will process news in 4 different languages when it comes in. It will extract what happened to whom, when and where, removing duplication, complementing information, registering inconsistencies and keeping track of the original sources. Any new information is integrated with the past, distinguishing the new from the old and unfolding story lines in a similar way as people tend to remember the past and access knowledge and information. The difference being that NewsReader can provide access to all original sources and will not forget any details. We will develop a decision-support tool that allows professional decision-makers to explore these story lines using visual interfaces and interactions to exploit their explanatory power and their systematic structural implications. Likewise, NewsReader can make predictions from the past on future events or explain new events and developments through the past. The tool will be tested by professional decision makers in the financial and economic area.

    Andere bijdragers
    Project weergeven
  • Crowd Connection

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    A joint KPMG-Chaordix-LexisNexis crowd sourcing project, to harvest the wisdom of the crowd on the topic of Big Data opportunities in B2B, where I coordinated LexisNexis' participation in the 'trojka'.

    We worked with 3 different 'crowds': university students, KPMG employees and Reed Elsevier/LexisNexis employees, totalling over 1500 individuals, gathering useful insights on commercial opportunities in the area of Big Data.

    Andere bijdragers
    Project weergeven
  • Dutch-language classification

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    LexisNexis Benelux worked with NL-based Irion Technologies and LexisNexis US on a system that automatically applies topical indexing to Dutch-language documents. Classification is based on existing, LN-developed, taxonomies (recently, IPTC subject classification has been added).

    Joint optimalisation of taxonomies and training data, setup of internal training programme, development and implementation of data workflow.

    Andere bijdragers
    Project weergeven

Talen

  • English

    Moedertaal of tweetalig

  • Russian

    Basisvaardigheid

  • Dutch

    Moedertaal of tweetalig

  • French

    Beperkte werkvaardigheid

  • German

    Professionele werkvaardigheid

  • Afrikaans

    Basisvaardigheid

Organisaties

  • Fauna & Flora International

    member

    - heden
  • Amsterdam Informatie Netwerk (AIN)

    member

    - heden

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