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Patryk Wielopolski's avatar

You mention so many critical aspects regarding real-world implementations of AI (but I’d say more broadly analytics). Data Strategy is key and many organizations miss that - what is especially important often there is no common language between business and tech - something which ontology and knowledge graphs promise to deliver (see Gartner report - KG is next to GenAI as critical „emerging” techs). Feedback from users is another critical factor - many years of implementation taught me that you need to have a process for situation when something went bad - it doesn’t have to be AI, it can be any kind of automation - a manual process of correcting the results (usually with additional human supervision)

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