This talk at the European Cloud Foundry Summit 2016 discusses the state of data science on Cloud Foundry, and outlines different deployment strategies for data science models.
Operationalising Data Science on Cloud Foundry

This talk at the European Cloud Foundry Summit 2016 discusses the state of data science on Cloud Foundry, and outlines different deployment strategies for data science models.
This talk at the European Cloud Foundry Summit 2016 describes the work to include Conda as part of the official Python buildpack for Cloud Foundry.
With this new buildpack you can install PyData packages like NumPy, SciPy and Scikit-Learn with ease in your Cloud Foundry applications. You can get started with my tutorial about Python on Cloud Foundry.
In my talk at ODSC West I wanted to start a conversation about what if any value the idea of Cloud Native Applications has for data science. The video and slides from my presentation are below and the slides are also available without speaker notes.
If you haven’t heard of Cloud Native Applications, the idea is to write applications that take full advantage of the benefits of cloud deployment and understand the limitations and constraints of the platform.
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After a great first day, ODSC West started up again on a blustery Sunday morning in the Bay Area. As I needed to prepare for my own talk I didn’t get to see as many of the other sessions as I would have liked, but I’ve collected some thoughts on those that I did see.
I’m out in San Francisco for the first time in months, to speak at the first Bay Area edition of the Open Data Science Conference. For a relatively new conference there is a great line-up of speakers and the audience is already quite big with around 1000 data scientists attending.
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