To fully digitize the last mile of business, you need to distribute compute power where it's needed most -- right next to IoT devices that collect data from the real world. As technology extends ...

PHIL AI is pursuing an open ecosystem strategy by collaborating with infrastructure and application partners to support end-to-end AI workflows. Through integrations with decentralized compute ...

Overview: Edge AI processes data locally, cutting latency, boosting security, and enabling real-time decisions without ...

Each edge-computing deployment has very specific requirements, but since the need for edge applications over time may shift, it’s important to find an architecture that works now but is flexible ...

SENA was developed in collaboration with Intel and leverages zero-trust principles for deep root security from the silicon to the application. SENA is an enterprise-ready solution architecture built ...

Raju Dandigam is an Engineering Manager at Navan with 14+ years of experience in full-stack development and AI-driven solutions. Businesses need to provide smooth, high-performance applications in ...

As enterprises ramp up edge computing deployments, the big three clouds are ponying up a surprising array of edge options for a broad range of needs. It might surprise you to learn that the big three ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

As technology advances, the opportunity for optimizing operations within the trucking industry increases. Recent technological developments in trucking including the Federal Motor Carrier Safety ...