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Using Artificial Intelligence to Optimize the Value of Robotic Process Automation

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IBM reports that robotics process automation (RPA) can potentially reduce operational costs between 30 to 50 percent by allowing “robots” to cut across multiple applications to build system-to-system interfaces.

RPA is currently used across a wide variety of industries like banking, insurance, mortgage and more.

This white paper provides perspectives on how machine learning can address the challenges of RPA, and speaks to specific examples of complex process automation and intelligent automation.

Learn 5 challenges that accompany RPA projects, and how you can tackle them.

Vendor:
IBM
Posted:
05 Jun 2018
Published:
30 Sep 2017
Format:
PDF
Length:
6 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.