Data volumes and AI technologies continue to evolve and executives need to decide how best to extract the value from their data assets. It is estimated that only 2.5% of an organizations data is used to gather insights, this leaves a wealth of untapped data resources in organisations and the journey to exposing this data is often difficult to plan and execute, leaving the situation to become worse. As AI begins its journey to become mainstream, getting to grips with these data challenges is no longer something that can be delayed. In this session, Mark Stubbs and David Steele discuss some of the approaches that Hitachi Vantara have taken with clients when modernising their data landscape, producing high quality and well-annotated data that is mandatory for adopting good AI practices.
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