Gigaom Master Data Management Joins the Machine Learning Party

#artificialintelligence 

Manual, human-scale processes, are ripe for the picking and it's really a dereliction of duty to "do" MDM without significantly streamlining processes, much of which is done by eliminating the manual. As data volumes mount, it is often the only way to not watch process time increase over time. At the least, prioritizing stewardship activities or routing activities to specific stewards based on an ML interpretation of past results (quality, quantity) is required. This approach is paramount to having timely, data-infused processes.

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