Adding Automation to Data and AI through RPA

Robotic process automation (RPA) is gaining popularity as more companies understand its benefit for management and housekeeping in big data and artificial intelligence. More and more RPA and data management, are making a particularly compelling combination.

In data management, intriguing new possibilities are emerging for employing RPA. Data management includes numerous repetitive tasks in aggregation and curation that can benefit from automation. Applying RPA to large data repositories makes tasks such as data cleansing, normalization, data wrangling, and creation or updating of metadata more efficient.

RPA can be combined with other techniques to create sophisticated data handling solutions.
One example is the use of RPA to extract information from OCR documents to create metadata and reduce content to a usable format for big data or machine learning processes.

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Other transformations of very large data sets that benefit from RPA include: