Lost in Translation: The Genesis of the Data Translator

An examination of the ‘data translator’ role and how it can help forward a firm’s data agenda.

While it was only a few years ago that “data scientist” became a widely accepted job description, in reality, data science has been in practice for the last three decades. The advent of big data and cloud computing, an increasingly competitive marketplace, and the need to uncover new forms of alpha have combined to create lucrative opportunities for data scientists.

A staggering 90% of all data was generated in the last two years, and 2.5 quintillion bytes of data are created every day. This

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Nasdaq reshuffles tech divisions post-Adenza

Adenza is now fully integrated into the exchange operator’s ecosystem, bringing opportunities for new business and a fresh perspective on how fintech fits into its strategy.

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