The intelligent edge enables data to be processed without the latency of the cloud. This speed and performance is opening up the possibilities of IoT devices.
Increasingly, business processes and consumer experiences are defined by data—lots of data.
At your workplace, digital assistants will soon be able to use data from your meetings to make intelligent suggestions; AI will suggest the optimum attendee list and even provide materials to help you prepare for the meeting.
As a consumer, if you’re redesigning your kitchen at a store, you may be using virtual reality and other data-intensive processes to compare combinations and price out your wish-list items.
But data-intensive workplace and consumer processes like these hog bandwidth. They require massive amounts of data at a moment’s notice.
Cloud architectures aren’t well suited to these kinds of environments, which is why the intelligent edge is becoming a compelling architecture for experiences dictated by data. On the intelligent edge, data processing happens closer to the devices and users that need them. By bringing processing to the edge, users can minimize latency and improve performance of a VR headset, of data analytics or another data process.
Further, as IoT devices become the vehicles for gathering data—globally, there will be 28.5 billion networked devices by 2022, according to Cisco’s Visual Networking Index—edge computing can benefit these devices by enabling data to be processed at the edge and in the moment, right where IoT devices gather that data.
In this podcast with data expert and CIO Scott Robinson, we explore how the intelligent edge network is enhancing the value of IoT devices and creating entirely new business uses of these technologies.
Lauren Horwitz is the managing editor of Cisco.com, where she covers the IT infrastructure market and develops content strategy. Previously, Horwitz was a senior executive editor in the Business Applications and Architecture group at TechTarget;, a senior editor at Cutter Consortium, an IT research firm; and an editor at the American Prospect, a political journal. She has received awards from American Society of Business Publication Editors (ASBPE), a min Best of the Web award and the Kimmerling Prize for best graduate paper for her editing work on the journal article "The Fluid Jurisprudence of Israel's Emergency Powers.”
Scott Robinson is an enterprise architect and AI consultant with a 25-year history in business intelligence, analytics, and content management in the healthcare and logistics industries. He is currently CIO of the GlenMill Group, a research consortium providing new AI technology and infrastructure for enterprise applications and services.