As enterprises eagerly adopt new technologies relating to IIoT and mobile Edge computing, they often stumble upon unforeseen challenges.  

Challenges such as the exponential growth in the number of connected mobile devices, increased needs for bandwidth, more and more sophisticated attacks and sometimes unexpected operational overheads. 

Autonomous lawn mowers are designed to reduce lawn maintenance labor costs and time. But an inefficient or improperly programmed or operated robotic lawn mower would defeat the whole purpose of “autonomy.” An unproductive and unsafe robot will turn a gardener into a programmer, taking away the focus on what matters: the grass.

Intelligence (AI) and Machine Learning (ML) technology is undoubtedly the best path to efficient and precise autonomous driving systems but also one of the most challenging. The traditional in-vehicle technology doesn't have the necessary capacity to perform high processing workloads, especially intensive AI and ML decision-making.

Enterprises nowadays are migrating to the Cloud in droves and more and more software are being licensed, delivered and deployed using SaaS; such migration and deployment have become the norm for the so-called hybrid workplace model that mixes in-office and remote work, especially during the pandemic.  

Big-city transit for most urban populations is a way of life and with digitalization and state-of-the-art technology, metro systems can leverage analytical and decision support tools to reduce risk, improve service, and increase safety. Metro and other major public transport systems have embraced evolving digitalization for the provision of services such as security, customer service assistance, and operational support.

Mobile Health Units (MHUs) are integral elements of any advanced health care system. They make health care accessible to everyone regardless of their location or resources. The MHU is especially useful in geographically remote “underserved” communities or vulnerable populations.

Segment Routing IPv6 (SRv6) is a next-generation IP transport protocol, that utilizes existing IPv6 standard specifications to implement a network programming framework through flexible IPv6 extension headers. Leveraging SRv6 simplifies network protocol types to feature better extensibility and programmability, providing high reliability and offering new cloud service application potential. SRv6 is most suitable for cross-domain interconnection, large-scale networking, service cloudification, and cloud-network synergy.