AssistEdge RPA 17.6 enables enterprises to adopt
cognitive automation through seamless integration with Google and Microsoft’s
cognitive APIs. AssistEdge cognitive adapters enable language and sentiment
analysis which will bring predictive capabilities in the automation process.
AUTOMATION POWERS PREDICTIVE CAPABILITIES
AssistEdge RPA 17.6 enables enterprises to adopt cognitive
automation through seamless integration with Infosys Nia, Google and
Microsoft’s cognitive APIs. AssistEdge cognitive adapters enable language and
sentiment analysis which will bring predictive capabilities in the automation
nfiguration brings ease in automation design
The multi-modal configuration capability enables users to
configure processes by switching configuration modes within the application.
This capability brings an overall ease of automation design and reduces
customization efforts by a 35-40% reduction in the time spent on configuring
automation improves automation quality and accuracy
The dynamic PDF extraction capability allows bots to
automate actions on complex PDF documents. Advanced PDF controls and OCR capabilities
can now extract information from PDF documents faster and with a 15-20%
improvement in data quality and accuracy compared to other RPA tools.
improvements from previous product version
Important core automation enhancements available
in this release:
Enables multiple instances of Automation Studio
without admin access.
Enables support for configuration of PDF content
extraction on high resolution machines (4K resolution – 3840 x 2160 pixels).
Allows multiple sessions in SAP and Mainframe
automation (Attachmate Reflection emulator for IBM).
Added support for running Control Tower on
Added ability to handle “Basic Authentication”
popup on Internet Explorer.
enterprise supporting capabilities available in this release:
Certified support for SQL Server 2016 and
Windows Server 2016.
Simplified installation and lower runtime
footprint with consolidation of runtimes.
Added support for product installation on
systems enforcing FIPS compliance.
Added support for AWS load balancer by allowing
ability to source client IP from XFF headers for user validation.