Transformation effort s often fail because they overlook the importance of a transformed, truly&n bsp;data-centric architecture. For example, many who try to take advantage of artificial intelligence overlook the following facts:
\n\n Much-discussed "AI" methods are just icing on a data layer cake, icing that has various ingredients. \n Deep learning is just a more sophisticated machine learning modeling approa ch, hardly a magic bullet on its own.\n Machine learning is just a more sophisticated, data-driven extension o f statistical modeling, one that has a learning loop.\n Data scientists are very project-oriented, and often have a one-off, projec t-specific dataset orientation to data. They work with very small, sin gle-purpose data cakes.\n\nOrganizations that succeed in launching and s caling AI-capable platforms have a much more holistic view and pay much mor e attention to what ends up in the layer cake itself. This talk will explor e a number of these success stories and what’s behind the success.
\n DTSTART:20181011T094000 SUMMARY:Benefits of Data-Centric Architecture in Business Transformation DTEND:20181011T103959 LOCATION: See Description END:VEVENT END:VCALENDAR