Redefining Collaboration: Sentra at the Intel Edge

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Presented by

Moshtaq Ahmed at Nybsys, Dan O’Malley at Nybsys, & Lindsay Hiebert at Invisinet Technologies

About this talk

Rapid Team Collaboration Nybsys Sentra is a rapid team collaboration tool that provides unmatched instantaneous voice and data communication. Push-to-Talk (PTT) technology is now increasingly adopted by industrial organizations that require no-lag voice communications for quick response times and precise coordination. With the advent of 5G smart devices and private cellular networks, PTT systems have become more efficient and reliable, with low latency of less than 1ms. This ensures virtually no delay in communication, which is crucial in high-stakes environments. It facilitates seamless communication across large and dispersed teams, supporting high-definition video calls, real-time data sharing, and integration with IoT sensors. Industry Focus Industries such as manufacturing, mining, healthcare, education, and construction benefit from PTT over private 5G. Real-time information delivery through private networks can be used to monitor equipment health, manage workflows, and ensure worker safety. With equipment and IoT sensors on the same private 5G network, PTT enables simultaneous voice communications and real-time data from machinery, leading to faster decision-making and reduced downtime. As industries continue to digitize their operations, the trend towards integrating PTT with 5G and IoT technologies is expected to accelerate. Generative AI Use Case Imagine combining the power of Nybsys Sentra with generative AI like ChatGPT. By integrating ChatGPT into your PTT system, users can access AI-driven insights and support. Workers can use PTT to ask ChatGPT for maintenance procedures, troubleshooting tips, or safety protocols, all delivered instantaneously through voice communication. This integration enhances the functionality of PTT systems, providing users with intelligent assistance whenever they need it. In most situations, companies want to train the generative AI models locally, which needs a lot of edge compute power available through Intel.
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