Enterprises are challenged with consolidating, structuring, and providing data accessibility across organizational silos. Successful AI and machine learning initiatives require using unified trusted data to improve collaboration, innovation and to ultimately make better data driven decisions. Hybrid master data management drives fast and scalable insights to promote innovation, improve customer experience/process inefficiencies, and proactively identify and mitigate risk. Scott Buckles explains using an example relatable to us all.
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