1. How Bloomberg is using machine learning and data science to keep users hooked to its terminals

    How Bloomberg is using machine learning and data science to keep users hooked to its terminals

    How Bloomberg is using machine learning and data science to keep users hooked to its terminals By Scott Carey | March 17, 2017 The task for the data scientists at Bloomberg is to make this ocean of information discoverable and relevant for its subscribers Financial data specialist Bloomberg employs hundreds of data scientists to keep users hooked on its ubiquitous Terminals - the keyboards and monitors that give financial staff access to reams of market information.

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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
  2. Quotes

    1. The bulk of data science that happens is building products.
    2. What is much more successful is to use object recognition techniques on those tables.
    3. A lot of financial data is numbers, but a lot of the things that happen in the world that are pertinent to finance are expressed in language, either news stories we generate or aggregate, or press releases or documents the companies put out themselves, or even statement by officials.
    4. We understand what we want and look for and over the past year we have significantly increased the quality of applicants.
    5. Open source has really changed the way that we do business.
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