Organisations are using edge computing to create smart cities, smart buildings, smart shop floors and smart automobiles. But is ‘smart’ enough in the longer run? In this fast-paced world, where things are changing by the second, what is needed is much more. What is needed is to embed ‘intelligence’ in manufacturing. And hence, organisations are bringing in the ‘Intelligent Edge’ to edge computing.
The continuous rise in cloud computing, analytics, IoT and mobile computing, has put a strain on the networking bandwidth. Hence, edge computing technology emerged as an alternative solution wherein computing resources are placed closer to where data originates to reduce the need to transfer data back and forth to centralised computing locations. This brought hyper-local storage and processing capacity right at the edge of the network providing low-latency data processing.
However, this is not enough !!
There is a need to bring “intelligence at the edge” to yield deeper insights that can help transform businesses faster. Intelligent Edge brings in analytics capabilities to the processes right where the action is, instead of traditionally being confined to on-premises or cloud data centers.
For instance, an autonomous car would need data analytics in the time span of one-millionth of a second to make a decision for manoeuvring through a real time traffic situation. This is where intelligent edge plays its role. Similar can be the requirements on a battle field, a robotic surgery, remote monitoring of factories or managing smart cities.
It is the responsiveness added to intelligent IoT devices which will fuel the growth of digital transformation and it can only happen by bringing in the Intelligent Edge to these devices.
Intelligent Edge constantly aligns the processes with the ever-changing business landscape helping enterprises to chase their goals.
Intelligent Edge brings in business value in the following ways:
- Heightens process experimentation and innovation
- Intelligent edge-points of devices and systems not just interconnect the devices, but also enable rapid experimentation and innovation, critical analytics and real-time insights and decision-making.
- Ability to compute with agility: Systems can compute data, provide quick access to applications, and get deep insights into the process and devices strengthening the products and services.
- Brings in real-time capabilities: The world is surging toward IoT devices where real time responsiveness is of utmost criticality, Intelligent Edge driven by AI and analytics, brings in that split-second response time essential to run such programmes.
Intelligent Edge is being applied to huge array of industries such as transportation, energy, Government and public services, healthcare and retail to revolutionise the processes.
Intelligent Edge Computing is taking IoT to the next level by building AI and advanced analytics directly into the devices and systems making processes more agile, cost savings, efficiency improving and ultimately providing higher customer satisfaction.
If you haven’t thought about the IoT strategy of your organisation, it is high time that you do, and reap the benefits of Intelligent Edge.