The growing trends of cloud computing, Big Data, mobile applications and globalized enterprises have contributed to the rising demands of real-time applications, with successful examples such as Work From Home, remote desktop, video conferencing, telemedicine and third-party payments. However, latency and interruptions between networking nodes are currently the primary challenges, as network traffics continue to grow exponentially from B2B/B2C e-commerce and other real-time applications. To meet the demands for QoS (quality of service), SD-WAN has emerged as a performance-boosting and cost-effective solution.

For the past couple years, SD-WAN has been the remedy to networking challenges in various fields, such as medical, emergency rescue, retain and so forth, making it one of the fastest-growing technologies in decades. Indeed, the ease of deployments, simplified maintenance and application-prioritized performance have helped businesses improve productivity and reduce overhead. In fact, even construction industries can benefit from SD-WAN.

Thus far into 2020 it has not been business as usual as companies scrambled to cope with the COVID-19 pandemic and rushed to implement a feasible work-from-home model in order to ensure a productive and secure workforce. To securely connect teleworkers to the enterprise networks, businesses must integrate multiple security functions into a single appliance, one that delivers not only end-to-end visibility for potential threats with zero-touch deployments but also flexibility for implementing security measures on the fly and simplicity for effortless centralized management.

Nowadays most companies in the industrial sector have established a highly connected production infrastructure, in which production-related devices and equipments such as PLCs are interconnected to enhance productivity and cost-efficiency. This unprecedented connectedness is now referred as Industrial IoT (Internet of Things) and many enterprises in manufacturing, healthcare and utility generation have taken advantage of this technology. However, when mission-critical devices are connected to the Internet, this exposes vulnerability for potential intrusions. In fact, according to recent research, over 80% of the surveyed companies have realized the expenses for being hacked, and many of them had even experienced various types of cyber-threats.

Since the outbreak of COVID-19 pandemic, many municipal and national governments have imposed lockdown policies, forcing their people to stay home. Companies with branches worldwide have already instructed their employees to work from home for a certain period of time. However, the cure of the pandemic is still under experiment without a definite release date, the challenges regarding working from in terms of connectivity, bandwidth and security to ensure business continuity will remain.

Retail chains all over the world have been investigating network transformation in order to improve customer experience and reduce overhead. Retail services today have evolved to be more and more diversified, including virtual fitting room in fast fashion trends, online demo video of suites in hotels and real estates, as well as real-time inventory checks for clerks and customers. All these newly innovated services need a better bandwidth, more cost-effective WAN architecture to meet customer satisfaction.

AI-based Edge Computing technology is finding its way into various application scenarios, and one of which is intelligent traffic management. AI-optimized video analytics algorithms enable traffic flow analysis, vehicle counting, license plate recognition and driver/pedestrian behavior prediction, generating tremendous but useful volume of real-time data, at the edge, that can be relayed to the traffic control center for proactive response with almost no latency, not only preventing accidents but also saving lives.

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