Over the last decade, the Internet of Things (IoT) has caused widespread disruption in every sphere of our life. The evolution of IoT is not influenced by advancement in the unique technology segment; instead, a series of emerging technologies and innovation trends have converged together to create a unified experience of the ubiquitous world. The emergence of Edge computing, the 5G/ 6G revolution, and cloud computing have introduced a set of architectural patterns to minimize latency, network bandwidth requirements and allowed systems to scale beyond the limit. In the world of ‘new normal, the endless opportunities with both business and social transformations will weave IoT applications into our everyday life with billions of sensors seamlessly interacting with each other. Big Data and advanced analytics have transformed the massive volume of sensory signals and multimedia feeds into actionable insights and new revenue streams across the digital value chains.
A rapid expansion in exposing pervasive channels and deploying intelligent automation have brought critical challenges towards the future of digital transformation in the 21st century. The promising applications of AI and ML are mostly executed within the centralized cloud ecosystem, far from the point of action. Such intelligence is not designed to gain situational awareness from within the operating landscape. Harnessing the benefit of capturing and analyzing temporal data and timely interpretation of sensory events within the active window of the operational cycles are emerging as the key imperatives to gain strategic advantage and address cybersecurity concerns. As the diversity of sensors and applications grow exponentially, structured intelligence or prebuilt rule-based automation deployed in the edge runtime will not be efficient and extensible to elevate process automation and autonomic functions.
