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Whether we like it or not, the age of big data is upon us. Since 2012, it is estimated that data collection has been growing at a rate of 50% per year, and it shows no signs of slowing down.
This is a problem for records managers. As is, there are nearly too many records to realistically deal with. If something is not done, soon records managers will find themselves overwhelmed and overworked.
We shouldn’t despair though, because there are many options being explored to solve this crisis. Some of these methods include fuzzy sets logic, deep learning, and machine learning. All of these are different forms of artificial intelligence, and each helps automate a different process. The only problem is, it’s not records managers who are doing the exploring. Nearly all the progress and discussion in this field is being made by software engineers and computer scientists.