Edge Computing Enables Intelligent Networks

Introduction
More often there is a need for a real-time response to data generated by the sensor to make autonomous decisions. There is a need for a local data processing system which helps in better decision-making and keeps operations running.
Edge computing is an evolution of the cloud model and fulfills the need for a local data processing system that helps make better decisions alongside complementing with the cloud systems.

Role of Edge Computing in business modernization
Edge Computing can be used with multiple applications and helps to process data closer to where it is created, rather than sending it to a central data center or cloud. It has the ability to stores data locally, speeding up the process of collecting and sharing data associated with an IoT-connected device.
With data being the primary driver for any kind of digital transformation, specifically in case of implementing internet of things, artificial intelligence and machine learning algorithms, Edge computing helps access large quantities relevant data with decreased latency lead to faster response overall.

Industry-specific advantages of edge computing 
Manufacturing – Edge computing plays an important role in increasing machinery uptime and enhancing its functionality. Edge computing plays an important role in the fast processing of IoT data and has the capability to quickly act upon it than cloud computing, resulting in avoiding malfunctions to avoid safety hazards and production delays potentially saving the entire manufacturing floor from irreversible disruptions.

Shipping and logistics – In a Shipping and logistics setup, there is a constant need to track goods with their exact location to help to streamline workflows. Edge computing coincides with IoT sensors in warehouses to track and monitor the exact location of objects in real time.

Retail – Edge computing is helping retailers to gather right kind of data especially at the Point of sale, where data is generated and processed immediately, further transferring it to the central accounting and forecasting systems. Edge computing is very relevant in a brick-and-mortar model, where quick decisions are required.

List of companies using edge computing for business applications

General Electric – GE has expanded its suite of edge-to-cloud technologies to almost 200,000 devices including its IoT platform Predix applications, allowing it to be connected using a single console. Further it this edge computing helps to increase processing speed at a low latency rate, making data and analytics more powerful. The increased availability of edge computing is providing its clients with newer ways of driving insights leading to an automated and decentralized system.

Dropbox – The leading file storage and sharing company have developed its own edge network to help enhance connectivity and provide faster file access for customers.
With more than 75% of its customers located outside their headquarters the U.S.
Spreading over 19 cities across the globe, Edge computing has given its users an increased sync speed reaching almost 300% leading to an all-time increased performance across the board.

Nest Security Systems – The home IoT automation Devices Company has implemented edge computing directly into its cameras and security systems and thermostats leading the way for an intelligent security system. The edge computing technology helps in enhancing an image and video recognition of security cameras to monitor by allowing smarter security breach detection and fewer false alarms.

– Pavan Mudholkar,
Sr Research Analyst,
Infoholic Research