Pentaho has created a demo that shows how you can take advantage of your data and use machine learning algorithms to make predictive analytics deliver value to your company. In this demo we are looking at London's air quality as an example of how you can fully utilize big data sources.
Air quality monitoring and analysis is a crucial procedure for city councils. Air pollution causes 40,000 early deaths a year in the UK. 9,000 of these occur in London. This demonstration uses open data provided by King’s College London to analyse current and historical air quality across London. Once this data has been collected we can train a machine learning model to predict pollutant levels 12 hours in advance and manage the training, testing and automate the updating of the model on the Pentaho platform
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London's Air Quality and Pentaho
David has worked in the Business Analytics and data Integration space for nearly 20 years. He worked on numerous data warehouse and data lake implementations, firstly as a member of the global management information team at Allied Domecq, then latterly as a Sales Engineer at Cognos, IBM, Oracle and now Pentaho. At Pentaho he is a Technical Account Manager in the UK Pre Sales team covering all sectors but primarily Financial Services.