Edge AI/ML

 

Cameras are pervasive across smart cities, retail businesses and industrial operations with each one generating swaths of data to process. Scaling AI to meet this challenge requires not just highly optimized software, but a processor architected to run it effectively.

Implementing AI-based industrial automation at the edge is crucial in mission-critical applications and requires real-time data processing with a low-latency response.

The accelerating deployment of powerful AI solutions in competitive markets has evolved hardware requirements down to the very edge of our networks. Harnessing existing IT workflows is instrumental to edge-ready solutions capable of closing complex gaps between core business IT investments, competencies and upcoming AI opportunities.

Advanced AI applications now face fundamental challenges in latency, reliability & solution delivery, accessible edge AI systems that can be deployed with existing core IT infrastructure are now key AI enablers. The accelerating deployment of powerful AI solutions in competitive markets has evolved hardware requirements down to the very edge of our networks.

Lanner partners with FogHorn to provide the pre-validated, out-of-the-box AI Health Monitoring Solution preconfigured with FogHorn’s Lightning Edge AI platform, offering edge computing capabilities, pre-configured machine learning models, notification capabilities, and visualization dashboards.