Immigration IT Solutions

Edge Artificial Intelligence (Edge AI) is the future of Artificial Intelligence. What it simply means is in Edge AI, the AI algorithms are processed at the local level i.e., Edge AI takes and processed the data to the nearest point of user interaction whether it be a computer or an Edge server, or any other device.

In artificial intelligence (AI), increasingly complex algorithms, larger datasets, and process-intensive workloads lend to an insatiable demand for compute, memory, and storage, as well as higher-bandwidth, lower-latency communication between these components. Conversational AI, recommender systems, and computer vision are becoming increasingly prevalent, with new system architectures being explored to enable AI models with hundreds of trillions of parameters, and power supercomputers beyond exascale. These advances are bringing new challenges as the physical limitations of standard electrical interconnects are nearing the point of diminishing returns. Performance and efficiency losses from memory capacity limitations, network bottlenecks and stranded resources are being amplified at scale, creating a need for new system architectures to handle ever-growing, performance-intensive workloads.

top 5 industrial use cases for leveraging augmented reality on smart glasses. Hosted by our VP of Customer Solutions, Aaron Tate, and Senior Director of Product, Chris Delvizis, this webinar covered: When and where smart glasses with AR can impact your operations, Compelling use cases in manufacturing, logistics, and field service and How companies are currently deploying smart glasses

XCloud Networks and Cumulus Networks conducted a join webinar on “How to adopt a software-defined mindset in your network”. In the scope of the webinar, Alex Saroyan takes through the business drivers that forced Innova to reassess their network build and talks about how to transform network operations and evolve network architecture in the age of webscale based on a specific customer use case.