Accelerating safe data provisioning for Analytics and Machine Learning (Big Data LDN & Privitar)

How do you safely shorten time to value? The pressure is on – growing data science functions and hungry analytics teams driven by business pressure need access to an increasing number of datasets rapidly. It’s a constant balance of data’s dual status as an asset and liability. In this session we’ll explain how you can safely deliver protected data that retains analytical utility to your consumers.


Steve Totman, Privitar

Andy Steed, Big Data LDN

Mike Ferguson, Intelligent Business Strategies


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