Data Management at the Edge
Edge Data Gateway
One central portal to access, preprocess, select, collect, and visualize edge data from distributed edge devices.
The Challenge
Turn Fragmented Edge Signals into Usable Data
Accessing and using data across distributed, heterogeneous edge devices creates key challenges:
1
Edge signals are fragmented
Valuable operational data is scattered across devices, interfaces, and proprietary systems, making it difficult to use for analytics, products, or AI inferencing.
2
New data requirements create integration work
Each new data collection requirement can mean configuring devices, signals, triggers, formats, and delivery paths. Across heterogeneous fleets, this work becomes difficult to reuse and maintain.
3
Complexity grows with the fleet
As devices, signals, and data consumers increase, teams need a consistent way to control what data is collected, from where, and under what conditions.
The Solution
Manage Edge Data in the Edge Data Gateway
aicas Edge Data Gateway (EDG) is the central portal for accessing, preprocessing, selecting, distributing, and visualizing edge data. It brings devices, available signals, collection configuration, and campaign management into one operational environment.
Centralized Instead of Fragmented
Manage devices, available signals, collection configurations, and campaigns using a single interface.
Reusable Instead of One-off
Define data collection requirements once and reuse or adapt them across devices, fleets, and changing data needs.
Selective Instead of Collect Everything
Choose the signals relevant to each use case and collect data through targeted campaigns instead of moving every available device signal.
Business Outcome
Get more Value from Edge Data with less Operational Effort
By connecting software, data, and AI lifecycles across cloud and edge, the Edge Data Gateway (EDG) as part of the aicas EdgeSuite helps technical teams reduce fragmentation and operate distributed systems more efficiently.
Reduce Data Costs
Select and transmit only the data you need to reduce transmission, cloud processing, and storage costs.
Save Time
Set up and reuse data collection campaigns instead of recreating workflows for every new data request.
Improve Operational Performance
Provide relevant edge data for monitoring, analytics, and faster operational decision-making.
Scale Flexibly
Apply consistent data collection workflows across heterogeneous devices and growing fleets.
Prepare Data for AI
Collect and select relevant edge data for AI model training, validation, and continuous improvement.
How EDG Works
From Connected Devices to Usable Edge Data
Turn distributed edge signals into usable data through a structured workflow, from device connection to visualization and downstream use.
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Add and Connect Devices
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Validate Available Data
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Select the Data Needed
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Configure and Activate Campaigns
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Collect the Data
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Visualize or Integrate the Results
Add new devices to EDG through Automatic Agent Provisioning, providing preconfigured software agents that auto-connect devices to EDG.
Why EDG
Why EDG for operational edge data collection?
EDG combines device connectivity, data selection, reusable collection schemes, campaign management, and data delivery in one operational product. Instead of assembling these capabilities across multiple tools and custom integrations, teams can manage targeted edge data collection through one purpose-built workflow.
Campaigns, not Custom Pipelines
Define, reuse, and adapt data collection schemes across devices and fleets instead of building a new collection workflow for every data requirement.
Flexible Data Collection
Trigger data collection based on defined time intervals or events and adapt campaigns as data requirements change.
Fit into Existing Architectures
Use EDG as the data backbone within existing solutions and products instead of rebuilding edge data collection from scratch.
Built for Interoperability
Use supported data standards and interfaces across heterogeneous devices and connect collected data to existing analytics, visualization, and downstream systems.
Offline-Resilient
Monitor distributed devices and campaign activity remotely and support devices with intermittent connectivity, synchronizing again when connections are restored.
Use Case Examples
Apply selective edge data collection to operational data needs
Vehicle Live Data Management
WHO
Leading Global Automotive Company
WHAT
Integrate, select, and visualize live vehicle data in a dashboard to gain insights in realtime.
HOW
The aicas solution provides seamless access to realtime vehicle system data, such as vehicle diagnostics, sensor readings, and GPS locations. The dashboard analyzes, extracts, and visualizes insights from incoming live data streams. This enables live monitoring of speed, position, battery status, vehicle fault indications, fuel consumption, distance traveled, and much more. The solution provides over 100 configurable graphical widgets and can be used without programming skills.
VALUE
The insights provided by the dashboard enable operational and cost efficiencies as well as improved safety and performance. Decisions, responses, and actions can be taken immediately and cost effectively.
Critical Infrastructure – Power Transformers
WHO
System suppliers and utility operators responsible for the operation and maintenance of critical electrical grid infrastructure.
WHAT
Operators of essential power grid assets, including high-value power transformers, face the challenge of preventing failures that may result in service outages, safety risks, and significant economic impact. Continuous condition monitoring and early anomaly detection are essential for stable and uninterrupted power distribution.
HOW
Edge AI-enabled software solutions powered by aicas can be integrated into existing transformer environments. The system can monitor key performance indicators such as temperature, load patterns, vibration levels, and insulation condition. Data may be processed locally in realtime to enable immediate anomaly detection and predictive analytics. Only relevant insights and alerts are transmitted to centralized control systems to support faster diagnostics and AI-assisted operational decision-making.
VALUE
This approach helps increase grid resilience, minimizes unplanned outages, and supports predictive maintenance strategies. It contributes to extending transformer service life and improving long-term infrastructure sustainability and operational continuity.
Automotive Live Data Dashboard
WHAT: Provide selected vehicle signals for live operational visibility.
HOW: EDG can collect selected signals from connected vehicles and make the resulting data available for visualization and downstream analysis.
VALUE: Support faster access to relevant operational data without collecting every available vehicle signal.
Remote Equipment Monitoring
WHAT: Collect selected operating data from distributed industrial equipment.
HOW: EDG can provide defined operational signals from remote devices for monitoring and analysis.
VALUE: Support condition monitoring and earlier identification of operational deviations.
Additional Examples
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Vehicle data for defined analytics requirements
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Data monitoring for software-defined vehicles
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Selective data collection for industrial and IoT environments
EDG for Edge AI
Turn Edge Data into Usable Input for AI
AI models depend on relevant, representative data from real-world systems. EDG helps teams select and collect the edge data needed for model training, validation, and continuous improvement instead of transferring every available device signal.
Select Relevant Training Data
Define which signals and operating conditions matter for a specific AI or ML use case.
Collect Data Across Distributed Devices
Run targeted campaigns across selected devices to build datasets from real-world edge environments.
Iterate with new Data
Adapt collection schemes and campaigns as models, operating conditions, and data requirements evolve.
Connect Data Operations to the AI Life Cycle
Within aicas EdgeSuite, EDG provides the data foundation that complements capabilities for deploying and managing AI-enabled applications at the edge.
aicas EdgeSuite
EDG within aicas EdgeSuite
Edge Data Gateway provides the data management capability within aicas EdgeSuite, complementing the platform’s capabilities for software and AI operations across distributed edge environments.
Within EdgeSuite, EDG works alongside other aicas products to connect data operations with the broader lifecycle for deploying, managing, and continuously improving software and AI-enabled applications at the edge.
EDG supports the data side of the AI lifecycle within aicas EdgeSuite. It provides relevant edge data for training, validation, and continuous improvement, while other EdgeSuite capabilities support the deployment and management of AI-enabled applications at the edge.
EDG can also be used as a standalone product within existing embedded and edge environments.
Explore aicas EdgeSuiteFAQ
Common questions about aicas Edge Data Gateway
What is aicas Edge Data Gateway?
aicas Edge Data Gateway provides a way to access, select, collect, and manage data from distributed edge devices. It provides a campaign-based workflow for defining which device signals are needed, collecting selected data, and making it available for visualization, analytics, and AI.
What is a data collection campaign in EDG?
A data collection campaign defines which data should be collected from selected devices and under which conditions. With EDG, teams can reuse and adapt collection schemes across devices and fleets instead of configuring a new data collection workflow for every requirement.
How does EDG reduce the amount of edge data transferred to the cloud?
EDG enables teams to select the signals relevant to a specific data need and collect them through targeted campaigns. This selective approach reduces the need to transfer every available device signal, helping reduce data transmission, cloud processing, and storage.
Can EDG be integrated into an existing edge or IoT architecture?
Yes. EDG can be used as a standalone product and as the data backbone within broader embedded and edge solutions. It is designed to connect edge data operations with heterogeneous devices and existing analytics, visualization, and downstream systems through supported standards and interfaces.
Does EDG support cloud and on-premise deployment?
Yes. EDG is available as aicas-hosted SaaS, for deployment in a customer-hosted cloud environment, and for on-premise deployment. This allows organizations to select a deployment model that fits their architecture and operational requirements.
How does EDG support AI and machine learning?
EDG supports the data side of the AI lifecycle by helping teams select and collect relevant real-world edge data for model training, validation, and continuous improvement. Targeted campaigns can collect defined signals and operating conditions across distributed devices as AI data requirements evolve.
How does EDG work with aicas EdgeSuite?
EDG provides the data management capability within aicas EdgeSuite. It complements EdgeSuite capabilities for software and AI operations by making relevant operational edge data available for analytics, applications, AI workflows, training, validation, and continuous improvement. EDG can also be used independently of the full EdgeSuite.
Can EDG work with devices that have intermittent connectivity?
EDG is designed to support distributed devices with intermittent connectivity. Devices can synchronize again when connectivity is restored, supporting data operations in edge environments where a permanent connection cannot be assumed.
Can I interact with edge devices using natural language?
EDG supports MCP-based interfaces that enable users to interact with connected devices using natural language. This provides a more intuitive way to access device data and information without navigating each data source individually.
Resources
Further Information
Next Step
Evaluate Edge Data Gateway for your Edge Data Workflow
Discuss your device environment, data collection requirements, and deployment model with an aicas expert.