Solution Summary
Renesas and IoT83 have partnered to create an intuitive cloud-based AI model creation and hardware evaluation environment to make it simple for engineers to access Renesas’s RZ/V series MPUs, develop AI/ML models, download the models to the target hardware, and then to evaluate the performance of the target hardware running the model, as well as the real-world performance of the AI/ML algorithm itself
Features/Benefits
- Engineers execute a Self-Sign-On registration for simple access to the Renesas AI Virtual Lab.
- Request the target hardware to use or register their own boards.
- Use pre-built models already provided in the Platform or build your own custom AI / ML models using a simple step-by-step menu guided process in a no-code fashion.
- Evaluate the Renesas hardware with algorithm’s effectiveness, and power consumption analysis.
Diagrams/Graphics
Target Markets and Applications
- Industrial OEMs
- Healthcare and Medical devices
- Agriculture
- Smart City
- Utilities
- Drones
- Automotive
- Oil and Gas
- Security
Building Enterprise-Grade IoT & Big-Data solutions is inherently complex. Essential components include a scalable underlying platform with proven reliability, cyber-security, expandability, and flexible deployabilty. But on top of this, enterprises also need to build sophisticated applications to create actual customer value.
IoT83’s Solution: The Application Enablement Platform
Our AEP wraps all the complex but essential platform and application creation tools needed to build, deploy, and manage powerful IoT & Big Data solutions into a set of intuitive workflows and processes.
Intuitive Workflows with Low-Code and Pro-Code Power & Flexibility
Whether using the highly intuitive low-code workflows & studios, or the full power of the AEP APIs using pro-code methods, anything developed on the AEP is inherently ready to scale and easy to deploy.
- The Connector Layer - Securely connects diverse data flows the platform (over 40 Connectors available).
- The Data Manager - Transforms in / out-going data & manages persistent storage (Multiple Databases Supported).
- Analytics & AI/ML Studios - Thresholds, Rules, Action on Events, and Multiple AI/ML Workflows are Provided.
- Multi-Tenant / Application / Role - The Platform easily support multi-tenant / application / role deployments.
- Infrastructure as Code - Makes deployment on any Cloud Provider or Private Cloud Simple & Manageable.
AEP Based Application Creation Cuts the Cost, Risk, and Time to Market Dramatically
The underlying components of an Enterprise-Grade IoT or Big-Data Application are inherently complex – But Leveraging the AEP cuts away complexity in favor of intuitive workflows while still providing the full power of the underlying platform services – and unleashing the full potential of IoT for your business.
