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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Pega RPA is a robust robotic process automation platform designed to help enterprises automate manual and repetitive business processes. It supports both unattended automation, where bots run independently in the background, and attended automation, where digital assistants support employees in real time. The platform allows organizations to bridge gaps between legacy systems without relying on complex integrations or APIs. With Robot Studio, users can design, test, and deploy automation workflows using a low-code interface, making development faster and more accessible. Robot Manager provides centralized control for monitoring bot performance, managing workloads, and ensuring smooth operations. Pega RPA also includes self-healing capabilities that allow bots to adapt to changes and minimize disruptions. By integrating with Pega’s broader AI-powered platform, it enables intelligent automation across workflows and processes. The solution enhances productivity by freeing employees from repetitive tasks and allowing them to focus on higher-value work. It also ensures compliance and governance through enterprise-grade controls. Overall, Pega RPA empowers organizations to scale automation efficiently while modernizing operations.

Description

Effective business choices are informed by the analysis of real-time data from devices and sensors, which enables prompt actions. The IoT era introduces a vast number of interconnected devices, presenting significant opportunities to automatically generate valuable insights and create new revenue streams. By leveraging Pega’s top-tier case management and BPM solutions, organizations can seamlessly transform IoT-driven insights into strategically coordinated actions that span various business and system boundaries. Pega Machine Health plays a crucial role by continuously integrating people, processes, devices, and data to enhance the health and value of connected IoT devices. This functionality allows organizations to not only analyze situations but also recommend preventive measures and repairs, thereby enhancing the overall customer experience. To maintain a competitive edge in the swiftly changing IoT landscape, businesses can utilize the remarkable agility provided by Pega 7. Furthermore, Pega 7 empowers IoT teams to perpetually refine both the analytical processes and the coordination of actions driven by IoT data, ensuring sustained operational excellence. Such capabilities foster a proactive culture within organizations, enhancing their responsiveness to emerging challenges and opportunities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

CyberArk Privileged Access Manager

Integrations

CyberArk Privileged Access Manager

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Pegasystems

Founded

1983

Country

United States

Website

www.pega.com/products/platform/robotic-process-automation

Vendor Details

Company Name

Pegasystems

Founded

1983

Country

United States

Website

www.pega.com/products/platform/iot

Product Features

Robotic Process Automation (RPA)

Analytics
Attended Automation
Code-free Development
Image Recognition
Optical Character Recognition
Process Builder
Third Party Application Integration
Unattended Automation

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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