This infographic explores how edge computing, AI and IoT devices work together to deliver intelligence at the edge.
Accessibility note: The listical is transcribed below the graphic.
Innovation requires gathering information about people, places, products and more, analyzing the data for insights, and adjusting processes accordingly to better serve consumer needs and business goals.
The intelligent edge takes this process — which is traditionally time-consuming, costly and complex — and puts it into practice at the source.
Intelligent edge technologies typically combine Internet of Things (IoT) devices with rugged, powerful edge computing hardware and Artificial Intelligence (AI) capabilities to enable immediate data analysis for responsive change.
IoT devices such as sensors and cameras receive data from the environment.
Edge computing allows the data to be analyzed immediately on-site — no need to send it to a cloud or data center.
AI and machine learning complete the process, turning data into insights and insights into immediate action.
The intelligent edge is transforming operations globally, impacting business processes, health outcomes, community resources and more.
Industries impacted by intelligent edge technologies include:
For example: Edge technology can analyze weather conditions around wind turbines to instantly adjust positioning for maximum outcomes.
Implementing intelligent edge solutions lets you apply AI and machine learning to respond to business-critical insights in real time.
In IoT without intelligence, the IoT device gathers data, the data travels to the cloud for analysis, then the data travels back to the site for action. This takes roughly 2–3 seconds.
With intelligence at the edge, the IoT device gathers data, it’s analyzed on-site and actionable insights are applied in real time — instantly.
The business results of the intelligent edge include enriched user experiences, optimized business practices and accelerated innovation.
Partner with Insight to discover what intelligent edge technologies can do for you. From idea to deployment, the intelligent edge is within your reach.
Pokhrel, S. (2019, Nov. 19). You Need to Move From Cloud Computing to Edge Computing Now. Towards Data Science.