My learning journey: Data Management Forum

Takeaways from Global Predictive BA & Data Management Conference (Milan, Feb. 2017)

I. Creating a data team is a custom process

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Image Credit: snegok13/Shutterstock

‘Governance over data is paramount to empower business units and guarantee a fair and cost-efficient approach (Davide Cervellin, Head of EU Analytics, eBay)’

II. Data science is a new paradigm shift

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Prof. Vercellis’ data strategy path.
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Image Credit: Natalino Busa’s slide.

‘Be fair with the data: let them ask you questions’ (Carlo Torniai, Head of DS and Analytics, Pirelli)

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Image Credit: Natalino Busa’s slide.
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Image Credit: Natalino Busa’s slide.

III. There are sectors and areas that are hotter

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Image Credit: Peshkova/Shutterstock

‘The state-of-art of speech recognition today has raised a lot since 2012, with deep-q networks (DQNs), deep belief networks (DBN), long short-term memory RNN, Gated Recurrent Unit (GRU), Sequence-to-sequence Learning (Sutskever et al., 2014), and Tensor Product Representations (for a great overview on speech recognition, look at Deng and Li, 2013)’ — Full article HERE.

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Image Credit: Daniel Tapiador’s slide.

IV. Final Thoughts

Research Lead @Balderton. Formerly @Anthemis @UCLA. All opinions are my own.

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