Transformational opportunities powered by edge computing are almost limitless. Real-time analytical power for things like automation, prediction, and control means more agility and business value. Here’s a quick guide on why you must expand your digital foundation to the edge and where to start because edge computing yields deeper insights, faster.
There are many different kinds of edges: a manufacturing floor, a building, a campus, a city, a crop field, a wind farm, a power plant, an oil rig, a sports arena, and more. Massive amounts of data are created and can be collected and analyzed at every edge.
When used in context, and in a timely manner, this real-time data can yield all sorts of interesting insights. Edge computing use cases include:
- Improving safety in industrial settings, such as air quality in mining through wearables
- Preventive and predictive maintenance for machinery through sensors in production facilities
- Precision agriculture to monitor data in the field to improve crops
- Enhancing citizen safety through real-time video monitoring and analytics of traffic, public transit, special events, etc.
- Creating engaging experiences at entertainment venues through services that improve fan experience and operations
- Enhancing patient experiences with connected care via mobile and wearables, offering better ways to monitor (and self-monitor) patient health and empowering and connecting patients to real-time care when needed
Edge computing is a game-changer
Analysts predict that by 2022, 75 percent of enterprise-generated data will be created and processed outside the traditional centralized data center or cloud.
Companies new to edge computing won’t arrive at a fully developed program overnight. There are possibilities to explore and capabilities to consider. You must build knowledge and relationships with operations technology and line-of-business teams, modernize infrastructure, find a pilot project, and then when all of that is done, learn how to scale.
Fortunately, many use cases serve as inspiration for your own edge computing blueprint. We assembled a few to help you build a compelling case for leveraging edge computing in your organization.
Among the subjects addressed in this edge computing report…
Where edge computing excels: Handling high-volume data formats such as video for facial and object recognition and quality control are excellent edge use cases. Predictive analytics in industrial settings require data center-class edge computing power for maintenance and autonomous operations.
Architectural decisions required: Different use cases require different levels of computing and bandwidth at the edge. Expect vendors to package basic architectures that IT needs to customize.
New partnerships to build: Operations technology (OT) teams often buy technology but IT is tasked with maintenance. IT pros also benefit from deeper understanding of OT.
Key challenges ahead: Developing the edge security framework, applying data management at vast scale and in new contexts, learning new skills, and working well with OT are just a few hurdles between you and the edge.
Expand your digital foundation to the edge, where all of the interesting things happen. Let’s do this.
Copyright 2019 Hewlett Packard Enterprise Development LP. Originally published on Hewlett Packard Enterprise’s thought leadership platform “enterprise.nxt”, created by Enterprise.nxt. https://www.hpe.com/us/en/insights/reports/intelligent-edge-report-1903.html. Reproduced with Permission.