Published by Gbaf News
Posted on October 11, 2017
5 min readLast updated: January 21, 2026
NICE’s Cognitive Process Automation Platform is set to achieve an estimated 95% reduction in process time and decrease manual effort by 85% across some of the most complex business processes
NICE (Nasdaq:NICE) today announced the next evolution in its cognitive automation platform – an integration with technology partner Celaton to infuse NICE Robotic Automation with enhanced machine learning capabilities. This integration creates a digital workforce that can manage, consume, and assimilate more complex unstructured data into fully automated business processes, decreasing manual effort by up to 85 percent.
Every day, businesses are inundated with large volumes of unstructured and unpredictable data from customers, such as enquiries, complaints received by email, fax, paper, social media and other electronic data streams. The unstructured nature of the data makes it highly labor intensive to categorize, interpret, process and respond to the customer in a timely and consistent way. The dependence on human labor is expensive, and prone to errors and delays, which inevitably creates backlogs during peak or surge periods. Furthermore, business operations cannot expand without the addition of human resources, further exacerbating operating costs and lack of flexibility and scalability.
With cognitive machine learning capabilities, complex data is quickly consumed and interpreted, and sound judgments made by robots, who are instructed to respond to customer queries or complaints in an intelligent and highly personalized manner. The cognitive robots continually learn about new situations and content from human input, driving an enhanced customer experience, and reducing process time by approximately 95 percent. The combination of human intervention and cognitive technology ensures accuracy, accelerated speed, and continuous optimization of business processes, as well as growth and scalability.
Andrew Anderson, CEO of Celeton:
“We are thrilled to be partnering with NICE to deliver innovative machine learning capabilities that will help businesses achieve new levels of process efficiencies that were currently out of reach. The powerful combination of Advanced Process Automation and machine learning will most certainly help companies deliver better customer service faster using precision, speed, and personalization.”
Miki Migdal, president of the NICE Enterprise Product Group:
“Robotic Process Automation has already made great strides globally by significantly impacting business efficiencies and ROI. We have now entered a new era of cognitive automation, and we are delighted to be at the forefront of innovation as we boldly expand our machine learning capabilities. The integration with Celaton not only addresses many of the more complex and challenging business problems facing our customers today, but also marks a significant contribution to the cognitive automation arena.”
NICE’s Cognitive Process Automation Platform is set to achieve an estimated 95% reduction in process time and decrease manual effort by 85% across some of the most complex business processes
NICE (Nasdaq:NICE) today announced the next evolution in its cognitive automation platform – an integration with technology partner Celaton to infuse NICE Robotic Automation with enhanced machine learning capabilities. This integration creates a digital workforce that can manage, consume, and assimilate more complex unstructured data into fully automated business processes, decreasing manual effort by up to 85 percent.
Every day, businesses are inundated with large volumes of unstructured and unpredictable data from customers, such as enquiries, complaints received by email, fax, paper, social media and other electronic data streams. The unstructured nature of the data makes it highly labor intensive to categorize, interpret, process and respond to the customer in a timely and consistent way. The dependence on human labor is expensive, and prone to errors and delays, which inevitably creates backlogs during peak or surge periods. Furthermore, business operations cannot expand without the addition of human resources, further exacerbating operating costs and lack of flexibility and scalability.
With cognitive machine learning capabilities, complex data is quickly consumed and interpreted, and sound judgments made by robots, who are instructed to respond to customer queries or complaints in an intelligent and highly personalized manner. The cognitive robots continually learn about new situations and content from human input, driving an enhanced customer experience, and reducing process time by approximately 95 percent. The combination of human intervention and cognitive technology ensures accuracy, accelerated speed, and continuous optimization of business processes, as well as growth and scalability.
Andrew Anderson, CEO of Celeton:
“We are thrilled to be partnering with NICE to deliver innovative machine learning capabilities that will help businesses achieve new levels of process efficiencies that were currently out of reach. The powerful combination of Advanced Process Automation and machine learning will most certainly help companies deliver better customer service faster using precision, speed, and personalization.”
Miki Migdal, president of the NICE Enterprise Product Group:
“Robotic Process Automation has already made great strides globally by significantly impacting business efficiencies and ROI. We have now entered a new era of cognitive automation, and we are delighted to be at the forefront of innovation as we boldly expand our machine learning capabilities. The integration with Celaton not only addresses many of the more complex and challenging business problems facing our customers today, but also marks a significant contribution to the cognitive automation arena.”
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