'Big data' is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy.

During 2015, there was much talk within government and industry about the importance of handling 'big data'.

This article predicts that the way food manufacturers and growers handle ‘big data’ is expected to be one of the main industry trends of 2016.

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  • More on 'Big Data':
    DNV GL/ IFST INTERNATIONAL SURVEY

    IFST has contributed to the development of an international survey about Big Data. Conducted by DNV GL – Business Assurance, the survey aims to identify trends and benchmarks in the area of Big Data. Results will be shared among all respondents at the end of the survey.

    On behalf of DNV GL, we invite you to give your opinion here; which will only take 10 minutes. The submission deadline before  7
     February.

     
  • Hi Selvarani

    Bit disappointed that food/agriculture does not seem to feature very highly in the Alan Turing Institute's initial remit.  Or am I mis-reading the Institute's remit? (see https://turing.ac.uk/).

    Best

    Roger

    • Hi Roger,

      Happy New Year!

      Although, food and agriculture isn't mentioned explicitly on the home page of the Turing website, I do know that the Food Standards Agency is working with the Turing Institute on longer term data analysis issues and are currently looking at how to put data into manageable forms. So you can rest assured that food and agriculture data will not be missed out of these considerations.

      Kind regards

      Selvarani

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