Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.
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
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
Integrations
Advantech WebAccess/CNC
Azure Stream Analytics
Barracuda PST Enterprise
Google Cloud Platform
Microsoft Azure
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
Crosser Technologies
Founded
2016
Country
Sweden
Website
www.crosser.io
Vendor Details
Company Name
Pegasystems
Founded
1983
Country
United States
Website
www.pega.com/products/platform/iot
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization