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Businesses face the challenge of consolidating, structuring and providing accessibility to data across organizational silos. Successful AI and machine learning initiatives require the use of unified and trusted data to improve collaboration, innovation, and ultimately make better data-driven decisions. Hybrid master data management generates rapid, scalable insights to promote innovation, improve customer experience/process inefficiencies, and proactively identify and mitigate risks. Scott Buckles explains using an example that concerns us all.
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