Nathan Bijnens
PresentationsCurriculum Vitae
  • Nov 22, 2016

    Webinar: Smarter Data leading to Predictive Marketing - delaware.pro

    A hands-on 30-minute webinar with delaware | digital, we talked on how to become a customer lifetime value virtuoso, covering a broad spectrum of topics, from recognizing the impact of customer turnover (customer churn) on your business to predicting a customer’s next interaction based on smart data.

  • Oct 30, 2016 #Azure #Machine Learning #Big Data #AI #Knowledge & Data

    Predicting Occupancy on the Belgian railroads, based on spitsgids/iRail data, using Azure ML.

    Pieter Colpaert, the #opendata specialist in Belgium did a call to the community to try and predict which train will have high occupancy.
    I am not a Data Scientist, but decided to give it a try on Azure Machine Learning, my employer’s Machine Learning offer in the Cloud. I used the free version to create this. Using Azure ML you can use the build in algorithms, or use Python or R scripts. We also have Jupyter notebooks available to quickly explore the data.

  • Oct 18, 2016

    Microsoft Advanced Analytics, with a special focus on Cognitive Services and Azure Machine Learning at the Data Science Belgium Bootcamp October '16.

    This presentation was given to a limited audience, if interested contact me.

  • May 18, 2016 #Azure #Mesos #Docker

    Azure Container Service in Action @ Docker Belgium & AZUG

    More than 50 Docker and DevOps enthusiasts attended the Impromptu: Container Ops, from Pets to Cattle with DC/OS (w/ AZUG) hosted at Microsoft.

  • May 17, 2016 #Azure #Mesos #Docker

    Azure Container Service in Action @ BigData.be

    More than 50 Big Data and DevOps enthusiasts attended the 37th meetup - Mesosphere DC/OS and Apache Beam hosted at Microsoft.

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Nathan Bijnens
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Nathan Bijnens

CEO of Scrydon, building the Cognitive Enterprise, a sovereign AI OS & Decision Intelligence platform. Fascinated with AI, Agentic AI, Big Data, Event Driven Systems, NixOS and home automation. Speaker on AI, Big Data and Spark.