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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Develop your Knowledge Layer through a user-friendly visual interface that facilitates interaction with the knowledge graph. You can create and query this graph while enriching domain concepts with relevant data. By activating bots, you can enhance the knowledge graph with dynamic connections, allowing for a more interconnected experience. The platform also supports the creation and composition of services using functional composition features, enabling users to add and manage services seamlessly within the knowledge graph. It offers both interactive and scripted access to essential system actions, making operations more efficient. Additionally, the system incorporates schema management, data loading, querying, and administrative capabilities. The command line interface can be easily expanded with custom plug-ins, providing developers with the flexibility to introduce new functionalities. Knowledge applications, which are specific use cases developed by clients on the Maana platform, provide AI-driven insights that aid in operational decision-making. Each knowledge application consists of decision models designed to execute real-time calculations tailored to user needs. Importantly, customers are restricted from accessing knowledge applications created by other users, ensuring privacy and uniqueness in their implementations. This approach fosters a dedicated environment where clients can innovate and customize their knowledge solutions.

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

No details available.

Integrations

No details available.

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

Maana

Founded

2012

Country

United States

Website

www.maana.io/knowledge-platform/

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

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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Alternatives

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