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Cloudera, Azure and Big Data at Cloudera Meetup '17
Big Industries hosted an evening of Cloudera in the Cloud. I presented on “Cloudera, Azure and Big Data”, showcasing how well Cloudera integrates with Azure data services, and how easy it is to deploy the full power of Cloudera’s enterprise data hub, as well as using Cloudera Altus on Azure.
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Microsoft AI at SAI '17
SAI hosted an evening of Deep Learning frameworks in Antwerp. I talked on AI, breakthroughs and (ethical) challenges and how Microsoft can help your organization doing more with data.
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The Internet of Things: Things, Connectivity, Data and Insight, bringing it all together at the Microsoft Services Day March '17.
This presentation was given to a limited audience, if interested contact me.
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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.
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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.