Meiji Chang, General Manager and Co-Founder of QNAP Systems joins Intel Chip Chat Network Insights in this archive of a livecast interview from the Intel Network Builders Summit in conjunction with SDN & NFV World Congress in The Hague, Netherlands. With the era of 5G approaching, we see there will be more and more use cases happening at both On-premise Edge and Network Edge. Meiji shares how QNAP will enable an intelligent uCPE with AI use case for small and medium business enterprise with ability to process multiple workloads (AI, media, networking) with a single device at the edge. To meet the rising demand of 5G converged workload platforms in the edge of cloud and IoT, QNAP has leveraged Intel-based software and hardware development platforms including OpenNESS, Intel QAT, DPDK, and the Intel OpenVINO toolkit. This brings AI to the edge in conjunction with 5G to address customer requirements such as low latency, data privacy, high bandwidth demands.

In this piece Angela Logothetis, VP and CTO of Amdocs Open Network, argues that AI and automation are critical factors in the successful move to telco virtualization. Artificial Intelligence (AI) is the latest piece of the jigsaw telecom operators must put together as they evolve their networks from physical to cloud-based, virtualized infrastructures (NFV/SDN). It's easy to get carried away by the possibilities AI and technologies such as Machine Learning offer. Customer analytics, revenue assurance and network optimization are all ripe for this new technology. But the area where AI can make the biggest impact is operational automation: letting networks run themselves.