Events

 

Smart cities, retail, and industrial operations require hundreds of cameras generating video streams that need to be processed locally, quickly, and efficiently with minimal latency. Advanced AI vision systems now face fundamental challenge in latency and reliability to deliver high-volume, low-latency AI inferencing at the edge networks.

The release 5G is anticipated to realize a wide range of new applications requiring the distributed networks to meet the demands of high bandwidth, ultra-low latency and real-time data processing. 5G architecture is essentially designed to take advantage of cloud-native concepts – the ability to communicate in a micro-services environment, and deploy network disaggregation and virtualization technology to deliver services and applications.

5G is anticipated to unlock the new business models that will enable operators to create new revenue streams, made possible by virtualizing the edge so that diverse networking and service delivery models can be available. Recently successful applications include consolidated branch networking via uCPE/SD-WAN, Open RAN via pole-mountable network appliance and edge cloud computing via MEC Server. To drive the 5G edge network computing and accelerate time-to-market, Lanner will join the Big 5G 2021 to showcase its latest network appliances designed for uCPE/SD-WAN, Open RAN and 5G MEC. Drop by and visit Lanner booth at #B302 at Denver, USA from Aug. 31 to Sept 2.

Advanced AI applications now face fundamental challenges in latency and reliability, edge-to-cloud AI solutions that can be deployed with existing core IT infrastructure are now key AI enablers. Harnessing existing workflows is instrumental to edge-ready solutions capable of closing complex gaps between core business IT investments, competencies and upcoming AI opportunities.

Join Lanner at NVIDIA’s GTC for a transformative global event that brings together brilliant, creative minds looking to ignite ideas, build new skills, and forge new connections to take on our biggest challenges. It all comes together online April 12 - 16, kicking off with NVIDIA CEO and Founder Jensen Huang’s keynote.

The demand for more data to serve advanced analytics and other emerging IoT applications has caused a change in the way we think about data collection. Architectures are shifting, pushing data acquisition "to the edge", or closer to the machines and equipment. The result is minimized latency, increased reliability, and more secure data transport.

When designing and deploying Industrial IoT and edge computing solutions, it is critical to balance the needs of both Operations Technology (OT) and IT. Top business priorities for OT include safety, efficiency, throughput, quality, and uptime, as they oversee operations in environments such as the factory floor, oil refineries and warehouses. Meanwhile, security priorities for IT revolve around data protection, compliance, governance, and privacy. Solutions need to balance the needs of both OT and IT organizations, enabling them to focus on driving business outcomes.

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