California officials announced recently that the deadliest wildfire in California history had finally been contained. However, earlier this month, areas near the inferno in Northern California infamously took the top spot for the worst air quality in the world, usurping Beijing.
Throughout hundreds of media updates, one company reappeared: Purple Air. This grassroots LLC uses the power of IoT to connect thousands of air quality sensors around the world. The network synthesizes raw data into a simple, publicly accessible map.
This demonstrates the power of integrating IoT and the Cloud: edge computing. Moving compute to the edge by having cloud-like hardware at each location processes the data on-site without having to send data over long distances. This allows for real-time responses and action. Thanks to networks like PurpleAir, people can make informed, immediate decisions, from buying air masks to closing campuses. Choices like these impact our lives—in both the short and long term.
The Situation: Lots of Data
There’s no denying it — we live in a data-driven world. With the internet at our fingertips, it’s changing the way we live. Thanks to Big Data, IoT platforms, user generated content, and so much more, we have ever-increasing amounts of data. It’s changing the way businesses function, as seen by a movement for digital transformation. With so much information out there, there are so many opportunities to improve daily business operations.
But how much data do we create everyday? 2.5 exabytes, which is equivalent to 2.5 quintillion bytes. To put that behemoth of a number into perspective, 90% of the world’s data was generated in only the past two years.
That number is only going to grow.
The Problem: Lack of Insight
Lots of data means lots of processing power needs, which means high costs. Thus, to handle all of this data, companies across industries are harnessing the power of compute at the edge. This can mitigate rising bandwidth costs from sending information to the data center and back. This also simplifies management of their edge and hardware needs by having everything in one location. However, “Today, less than 0.5% of available data is actually being analyzed,” according to Nodegraph. Harnessing the power of all this data is complicated. Why? There are many factors, including latency, reliance on the cloud, a vast array of closed applications. As such, enterprises are missing key insights critical to everyday functionality: information on network health, carrier SLA management, correlation data, and more.
The first step is to makes sense of the data. The next step is to make data analytics work for you. This means filtering through information to gather insights for improving daily processes and work flows—turning outputs into outcomes. Data-driven operational models that work in real-world conditions with real-time information are the key translation enterprises must make to stay competitive in the digital age.
The Solution: An Intelligent Edge
An intelligent edge is the connection between the physical world and the network: data is processed in real-time at the locations where it’s captured.
The 3 C’s of The Intelligent Edge Source
- Reduced latency with real-time data processing.
- Robust connection with a more reliable network.
- Increased security without risking the movement of sensitive data.
He summarizes its importance impactfully: “Edge Computing isn’t just a good option for the future of data storage and processing. It’s a necessary one, especially for highly secure or mission critical data that needs to be processed in real time.” Real time results are the key benefit of edge computing. These reasons are part of why Business Insider estimates that 5.6 billion IoT devices owned by enterprises and governments will utilize edge computing for data collection and processing in 2020.
However, it’s still important to analyze the data to make use of it and make the edge intelligent.
We have a solution: QOS Intelligent Edge as a Service. This eliminates the complication by synthesizing a uCPE, management layer, and devices onto one platform.
The QOS Virtual Hub platform simplifies complex data and delivers clear, actionable insights on a single pane of glass. This pain reliever and gain creator that provides speed, flexibility and support:
- Real-time compute
- Multi-cloud integration
- Integration with existing platforms
- Choice of preferred hardware
- Customer-oriented solutions
Building a reliable edge network doesn’t have a one-size-fits-all answer. With different needs and processes, each enterprise needs a custom solution. QOS understands that and works with clients to develop, deploy, and manage their networks.
Want to learn more? Read up on use cases across industries here.