What is Edge Computing?

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ge-corp-innotrans2016-1The name edge computing signifies the corner or edge in a network diagram at which traffic enters or exits the network.

Edge computing pushes computing power to the edges of a network, so instead of devices like drones or smart traffic lights needing to call home for instructions or data analysis, they can perform analytics themselves on streaming data and communicate with other devices to accomplish tasks.

In edge computing, the big data analytics happens very close to the IoT devices and sensors. Edge computing thus can also speed up the analysis process, allowing decision makers to take action on insights faster than before.

For organizations, this offers significant benefits. They have less data sent over their networks, which can improve performance and save on cloud computing costs. It allows organizations to discard IoT data that is only valuable for a limited amount of time, reducing storage and infrastructure costs. Further edge computing improves time to action and reduces response time down to milliseconds, while also conserving network resources.

In Industrial Internet of Things, applications such as power production, smart traffic lights, or manufacturing, the edge devices capture streaming data that can be used to prevent a part from failing, reroute traffic, optimize production, and prevent product defects.

Coca Cola free style dispensers are using edge computing to quickly understand the consumer behavior and help to be more responsive to needs.

GE locomotives take advantage of edge computing by gathering and processing real-time data about railway conditions, train maintenance, and even crew morale to help railroad companies move trains through crowded railway corridors in as safe and efficient a manner as possible.

With Digital Transformation and emerging technologies that will enable “smart” everything – cities, agriculture, cars, health, etc – in the future require the massive deployment of Internet of Things (IoT) sensors while edge computing will drive the implementations.

Sandeep Raut

7th Rank in Global Top 100 Digital Transformation Influencers Delivered speech at India Analytics & Big Data Summit at Bangalore on "How Machine Learning is helping in Digital Transformation" on 4th Feb 2016 Delivered Thought Leadership speech at Unicom - India Analytics & Big Data Summit on "Big Data Analytics disrupting industry" Delivered speech at IIT Mumbai on "Analysing Big data for disruptive innovation" Delivered a keynote speech at Rizvi College of Engineering on "Fraud Detection & Prevention using Analytics" • Director for Digital Transformation in Syntel. • Has more than 29 years of IT Services / Consulting / Off-shoring experience • Over 18 years in Business Intelligence space. • Had helped organizations in establishing the BI-Analytics Services CoEs. • Had spearheaded several marquee accounts and was significantly instrumental in building new business for the practice as well. • Had successfully initiated, mentored & deployed various strategic consulting services & solutions like Digital Transformation, BI Strategy Planning, BI Offshorization, BI Development/Deployment, Campaign Management, Inventory Optimization which resulted into multi-million dollar business. • Had developed & managed Customer relations with Global players across USA, UK & Asia Pacific. Specialties: Digital Transformation, BI & Big Data Analytics Banking and Financial Services, Healthcare LifeSciences, Insurance, Retail Manufacturing - Supply Chain Management

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