In the rush to deliver value-added models to the business, sometimes AI & analytics data projects arrive poorly tested or are incompatible with the production environment. IT managers complain they cannot properly monitor them and business people aren’t informed of issues before getting impacted. All of this destroys trust and increases the risk of exposing your business to operational, reputational, and legal hazards calling for tighter controls. In this session, Dataiku experts will show you how to safely scale and implement controls while still empowering data science teams to continue delivering business value.
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