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Intelligent model distribution at the edge

Distribution of AI capabilities to edge devices necessitates seamless management and deployment. It guarantees the right model to the right device with least effort and utmost reliability. /IoTConnect™ facilitates this through advanced over-the-air (OTA) functions, allowing organizations to deploy, update, and manage AI models at scale. Ranging from model lifecycle management to deployment strategies for specific devices, /IoTConnect™ guarantees businesses can maximize edge intelligence while minimizing operational complexity.

/IoTConnect™ benefits edge AI deployment

Centralized device control

Faster decision making

Real-time monitoring

Reduced bandwidth costs

Effortless device onboarding

Enhanced data privacy

Simplified data management

Scalable model deployment

Seamless integration

Improved model lifecycle management

/IoTConnect’s role in AI model management and deployment on edge

Model lifecycle management

/IoTConnect™ offers a centralized platform to handle the complete lifecycle of AI models, from development to edge deployment.

  • Centralized model repository: Store and manage all versions of AI models in one place.
  • Version control: Track changes and maintain multiple versions of a model.
  • Model validation: Test models against real-world datasets before deployment.
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Intelligent model distribution

Ensure the right model is deployed to the right device with /IoTConnect’s intelligent distribution system.

  • Device-model mapping: Match specific AI models to compatible edge devices automatically.
  • Edge device registry: Maintain a detailed registry of all edge devices, their configurations, and capabilities.
  • Role-based deployment: Enable controlled access for deploying models based on user roles.

Over-the-air (OTA) updates

/IoTConnect™ OTA capabilities streamline the deployment and updates of AI models on edge devices.

  • Automated push deployment: Distribute AI models directly to edge devices without manual intervention.
  • Incremental updates: Update models efficiently with only the necessary changes, minimizing downtime and bandwidth use.
  • Real-time rollback: Revert to the previous model version in case of deployment issues.
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Monitoring and feedback loop

/IoTConnect™supports continuous monitoring and feedback for deployed models to ensure optimal performance.

  • Inference monitoring: Track model performance metrics on the edge in real time.
  • Feedback data pipeline: Collect data from edge devices to retrain and improve models.
  • Predictive maintenance: Use edge insights to anticipate device or model performance issues.

Core features of /IoTConnect™for edge AI model deployment

Device-specific deployment

Match AI models to edge devices based on hardware specs and use cases.

Real-time deployment status

Monitor deployment progress and confirm successful updates.

Edge AI SDK

Simplify model integration and execution on edge devices.

Security by design

Ensure secure transmission and deployment of AI models with end-to-end encryption.

Model scalability

Deploy AI models across thousands of devices simultaneously.

Use cases for edge AI with /IoTConnect™

Device management

Smart manufacturing

AI models on edge devices can scan production data in real-time for defects or anomalies. /IoTConnect™ provides smooth model updates to enhance precision without disrupting operations.

  • Reduced downtime with real-time updates via OTA.
  • Improved product quality with rapid anomaly detection.
Data storage

Retail

Edge AI models monitor traffic flow and optimize signal timing to reduce congestion. /IoTConnect™ allows centralized control for model updates based on new traffic patterns.

  • Improved traffic flow with real-time AI insights.
  • Scalable model deployment across city-wide IoT systems.
Application creation

Healthcare

Edge AI models deployed on wearable devices analyze vital signs and detect critical health events instantly. /IoTConnect™ ensures models stay up-to-date with medical advancements.

Benefits :

  • Faster health event detection with on-device analytics.
  • Enhanced patient safety with secure OTA updates.

Frequently asked questions

/IoTConnect™supports a wide range of edge devices, from microcontrollers to AI accelerators, ensuring seamless device-model compatibility through intelligent mapping and OTA updates.

/IoTConnect™'s centralized management system and multi-tenant support allow businesses to deploy and manage AI models for thousands of edge devices efficiently.

/IoTConnect™ uses end-to-end encryption, role-based access control, and secure firmware updates to protect models during transmission and deployment.

Yes, /IoTConnect™ includes performance monitoring and feedback mechanisms, enabling continuous improvement of AI models based on real-world data.

Ready to operationalize AI at the edge?

Simplify model deployment, device targeting, and real-time AI execution at scale