The Hidden Complexity of Edge AI—And the Platform Built to Tame It

Jack Poller writes about ZEDEDA’s platform, that simplifies edge AI complexity by bringing cloud-style orchestration to distributed environments. It supports various workloads, automates lifecycle management, and enforces policies across heterogeneous devices, enabling enterprises to operationalize AI at the edge. Read more reactions to our recent Tech Field Day Showcase with ZEDEDA at Techstrong AI!

Conduct your Edge Application Orchestra with Zededa

Alastair Cooke explores how Zededa simplifies orchestrating edge computing applications, emphasizing its solutions that facilitate IT professionals in managing remote computing resources effortlessly. He highlights the operational benefits and scalability offered by Zededa, positioning it as a practical choice for businesses looking to optimize their edge computing strategies. For more insights on this topic, follow Alastair Cooke’s coverage on LinkedIn Pulse.

Your Edge Projects will Fail Without Fleet Lifecycle Management with ZEDEDA

Projects to deliver applications to edge locations will fail without comprehensive fleet lifecycle management. This episode of the Tech Field Day podcast features Sachin Vasudeva from Zededa discussing the importance of long-term edge management with Guy Currier and Alastair Cooke. There are unique challenges of managing edge deployments compared to cloud or on-premises environments. Focusing on business logic and application outputs while leveraging infrastructure providers to handle the complexities of packaging, deploying, and monitoring AI models enables diverse edge environments. Edge locations might have different hardware deployed, intermittent connectivity, requiring a balance between standardization and flexibility in managing edge devices and applications. Teams with rapid responsiveness and adaptation will better enable their business to respond to changing conditions, especially with the rapid pace of AI innovation.