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Future ‘smart walls’ key to IoT
PATRICK NELSON | February 10, 2020
Cilab is a small Spanish company placed in Granada. We operate urban management infrastructures in four different and convergent paths: energy efficiency, water, mobility-traceability and urban wastes management.
Article | March 2, 2020
The advent of the Internet of Things (IoT) has been crucial for the digital transformation of many industries in this new age. Today, numerous businesses are in great need of top-notch software development services and robust software solutions that can use IoT technology to its fullest extent. Many industries have embraced IoT technology. In manufacturing, it has been dubbed as the next industrial revolution. In retail, it allows for creating a more personalized shopping experience. And in other enterprises, it is frequently used as a way to streamline and optimize business processes for greater cost reduction and improved efficiency. IoT has truly transformed the way many companies do business today, from managing assets and tracking inventory to continuous process improvement and customer engagement. Here are some ways IoT has transformed many enterprises.
Energy management and efficiency utilization are the challenges for building owners, facility managers, and tenants. With the traditional metering solutions, building owners can’t measure accurate consumptions, usage patterns, and downtimes. It is simple: You can’t manage if you can’t measure. Building owners and tenants have been speculating about bettering and changing their approach to optimize energy consumption by deploying smart submeters. In contrast to traditional electrical meter, a smart submeter is infused with network connectivity features to upload the data. They track, monitor, measure, and upload data to servers for real-time visibility. Earlier building owners used to bill according to the space occupied by the tenants. Think about inaccurate billing – have you ever seen a bill that confused you?
Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert. Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes. While AI is often thought of as a product in its own right, it is increasingly intersecting with other parallel trends. Chief among these is the Internet of things (IoT), which enables previously isolated machines to “talk” to one another and, at the same time, generate data that makes new modes of operation a possibility.
As consumer demands evolve, fleet managers are turning to IoT to deliver products faster and more efficiently. The progress being made in edge computing represents the full potential of IoT: the power of data on the move. However, operating on the edge also reveals some of IoT’s greatest challenges: maintaining network security as the number of endpoints multiplies; rethinking traditional business models as industries become increasingly interdependent; and, perhaps most importantly, establishing a seamless, reliable network across borders, cultures, and regulatory environments.
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