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The Silent Roar: Predicting the IoT in 2020
With the Internet of Things growing at an ever-fast rate, the coming year will afford many new opportunities to collect and process data at the edge.
Dec 22, 2019—
Take in this moment. We're almost 100 years since the roaring 1920s, and technological advances have made great strides in transforming business culture and outcomes. Back then, manufacturing and production lines were king and queen of buying and selling. These days, the digitally connected world called the Internet of Things (IoT) is one of the main drivers in the marketplace.
The Roaring Twenties were marked by many pivotal moments, like the first Macy's Thanksgiving Day Parade, prohibition, jazz, Amelia Earhart flying across the Atlantic Ocean and the big Wall Street crash of 1929. The rise and fall of the decade's milestones and morale affected people throughout the decades following. In terms of technological advancements, the '20s brought radio, silent movies and Henry Ford's automobile industry to the masses.
Prominence of the Edge in 2020
Reducing cloud spending while maintaining, if not improving, the effectiveness of their digital environment has become a focus for many organizations. A number of factors have made the total cost of ownership for cloud services higher than some decision makers have expected. Although some may point to pricing strategies of the public cloud providers, the ease with which cloud services can be created and consumed brings challenges to organizations without effective governance mechanisms in place.
Latency is a significant challenge in certain contexts for which real-time or near-real-time responses are required. The higher network latency that comes with geographically dispersed sites within the public cloud infrastructure presents a challenge for those use cases.
Because of persistent needs for low latency and to reduce cloud spendings, we'll continue to see more use cases in which both hardware and software technologies are used in imaginative new ways for ingested data to be analyzed at the edge, or at least processed to reduce the volume of data that is sent to the cloud. For example, we should continue to see tighter integration of hardware, such as GPUs and wireless cards that support various wireless protocols with software stacks capable of ingesting, processing, storing and displaying data all within a single edge-computing appliance.
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