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Accelerate IoT adoption with CogniSense
Lightweight, cloud-native middleware IoT framework
Advancements in sensor connectivity and technology can help healthcare and life sciences organizations diagnose a condition or monitor treatment of a patient or member continuously and remotely through wearables and medical-grade devices. But the challenges related to the number of devices, integration between devices from various vendors, and handling the data generated from the devices can overwhelm a traditional system.
Virtusa’s CogniSense is an easy-to-use, lightweight, cloud-based IoT middleware framework that allows customers to quickly jumpstart their IoT journey with vendor-neutrality while fostering interoperability.
The framework is equipped with extensive capabilities that support sensor data capture, cloud data migration, integration of IoT platforms, advanced analytics, and device management. Leveraging AI/ML and edge computing over the data can create effective solutions around medication compliance management, remote patient monitoring, and more.
With CogniSense organizations can:
The framework is equipped with extensive capabilities that support sensor data capture, cloud data migration, advanced analytics, and device management.
- Scale as needed
Being a lightweight framework, enterprises can choose features to kickstart the implementation and subscribe to more features as they gain experience and confidence.
- Reduce time-to-market
CogniSense is easy to implement and delivers value instantly without organizations having to spend time and effort on training and implementation.
- Increase efficiency
CogniSense seamlessly integrates with incumbent data science platforms thereby saving enterprises the time and effort needed to explore options and invest in new platforms.
Features
Our cloud based, lightweight IoT middleware framework can help patients/members with the following features:
Cloud mediation
- Fully cloud-native architecture
- High interoperability
- Data correlation and enhanced analytics on the cloud
Rules engine
- Single rules engine handles all event processing needs
- Deploys rules on to Edge
- Supports multiple technology stacks
Microservices
- Microservices-based architecture
- Micro scalable features
- Fully dockerized capability
Device management
- Adaptive device provisioning for all major workflows
- Device onboarding
- Remote monitoring of device
- Apply firmware updates over the air
Data modeling
- Model Zoo with over 50+ Machine Learning (ML) models
- Models support decision-making both on the cloud as well as Edge
- Template-driven model enables maximum configuration capabilities
- Full-fledged access to model workbench to create models in a low code no code way
Secure Framework
- Transport level security
- Device-level security
- Certificate management
- Enhanced with blockchain-based security
- Reduces time-to-market by 20% and enables release of new use cases faster
- Supports customization by enabling enterprises to configure the IoT platform to suit needs
- Increases business process efficiencies with 20+ cross-industry implementations
- Eliminates licensing and maintenance cost as the firmware is developed on an opensource technology stack
- Integrates seamlessly with leading industrial platforms, device manufacturers, embedded technology, and cloud services