To implement algorithms, ExOs need to follow four steps: Gather: The algorithmic process starts with harnessing data, which is gathered via sensors or humans, or imported from public datasets. Organize: The next step is to organize the data, a process known as ETL (extract, transform and load). Apply: Once the data is accessible, machine learning tools such as Hadoop and Pivotal, or even (open source) deep learning algorithms like DeepMind, Vicarious and SkyMind, extract insights, identify trends and tune new algorithms. Expose: The final step is exposing the data, as if it were an open
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