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What is HPE Industrial IoT?
Industrial IoT (IIoT) devices collect and analyze data from various connected elements, locations, and people to extract valuable insights at the industrial edge. By taking charge of your data, you can use it more effectively. Integrating computing capabilities directly with your data streams allows you to speed up decision-making and mitigate the costs and risks linked to cloud data transfer. Uncovering correlations within your data is key to understanding causality, which in turn enhances both efficiency and predictability. HPE's IIoT solutions enable you to refine your data for quicker manufacturing, foresee failures, reduce unforeseen downtimes, and enhance automation. By merging operational technology (OT) and information technology (IT) data into robust systems, you can achieve data center-like functionalities directly at the edge. Building a comprehensive network is crucial to connect, protect, and utilize your data effectively. Is your IoT infrastructure prepared to yield real returns on investment? Investigate methods to tackle the technical and managerial hurdles that may arise during IoT projects, ensuring the success and longevity of your initiatives. With a strategic approach, you can revolutionize your industrial operations and extract substantial value from your data while maintaining a competitive edge in the market.
What is ASSET-Rx?
The IoT Technology Company leverages data from the physical world to mitigate risks and improve operational efficiency. Their Manufacturing Execution System enhances visibility across both discrete and process manufacturing sectors by providing a cloud-native, on-premise deployable Industry 4.0 solution that incorporates IIoT components. With the innovative WorkFlow Studio(TM), users can easily design workflows and processes without the need for any coding. Facility Studio facilitates the visual construction of processes and workflows within a no-code environment, allowing users to monitor assets, inventory, teams, and their interactions seamlessly. By analyzing the execution of these processes against established metrics, users can effectively measure and quantify any deviations. Furthermore, the link between the shop floor and top management is streamlined through easily understandable KPIs, promoting autonomous operations. ASSET-Rx enhances the design, planning, and real-time tracking of operational efficiency by autonomously collecting critical data from global operations, thereby providing valuable insights. This all-encompassing strategy not only optimizes processes but also equips organizations with the ability to make strategic decisions informed by real-time data analytics, ultimately fostering a more agile and responsive operational environment. The integration of these advanced tools signifies a transformative shift towards enhanced productivity and decision-making capabilities.
Integrations Supported
ABB Ability
AVEVA PI System
C3 AI Sensor Health
Deloitte Halo
Google Cloud Security Command Center
Litmus
Microsoft 365
PTC FlexPLM
PTC Implementer
PwC Check-In
API Availability
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Online Training
On-Site Training
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Hewlett Packard Enterprise
Date Founded
2015
Company Location
United States
Company Website
www.hpe.com/us/en/solutions/industrial-internet-of-things.html
Company Facts
Organization Name
Cratus Technology
Date Founded
2013
Company Location
United States
Company Website
www.cratustech.com
Categories and Features
Industrial IoT
Not specified
Categories and Features
Industrial IoT
Not specified
IoT
Big Data Analytics
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Manufacturing Execution
Not specified
Process Manufacturing
Not specified