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How IoT Is Changing Web Development
ELIFTECH | November 27, 2018
Ultra Clean Technology is an internationally recognized outsource solution provider for complex modules ranging from liquid & gas delivery systems to turnkey system integration...
Article | February 28, 2020
While the Industrial Internet of Things (IIoT) is maturing rapidly, there’s often a strong link to Artificial intelligence (AI) and Machine Learning (ML) tools to manage data flows. This raises a host of challenges including connectivity, security, storage and modeling requirements. Designers of IIoT devices and larger deployments must build in contingencies for shifts in these areas or risk falling short. While IIoT is gaining in maturity, the overall market still has many challenges to overcome. Some of these challenges are technical barriers to IoT device operation, such as connectivity standards and battery technology, but the picture is even wider than that. The world of IIoT not only requires IoT hardware to operate reliably and efficiently in all environments but also relies on supporting networks and services too. The result is that IIoT deployments cannot be viewed as isolated technology upgrades or productivity drives, but highly interconnected ecosystems sensitive to a wide range of variables – in particular the developing world of AI.
Article | March 2, 2020
Edge computing refers to information being processed at the edge of the network, rather than being sent to a central cloud server. The benefits of edge computing include reduced latency, reduced costs, increased security and increased business efficiency. Transferring data from the edge of a network takes time, particularly if the data is being collected in a remote location. While the transfer may usually take less than a second, glitches in the network or an unreliable connection may increase the time required. For some IoT applications, for example, self-driving cars, even a second may be too long. Imagine a security camera that’s monitoring an empty hallway. There’s no need to send hours of large video files of an empty hallway to a cloud server (where you will need to pay to store them). With edge computing, the video could be sent to the cloud only if there is movement detected in the hallway.
Article | March 18, 2020
There are already 20 billion IoT-connected devices, and 8 billion of those are devices used by enterprises, according to a report by Gartner. The impact of the Internet of Things market is potentially $11 trillion by 2025. The investment in IoT has come primarily from large businesses, but the technology is increasingly available via ‘as-a-service’, making it possible for businesses of all sizes to benefit. The ‘as-a-service’ model reduces the cost of ownership and capital expenditures and makes it easy for small businesses to investigate IoT with smaller up-font investments and less risk. Frank Della Rosa, research director at IDC, said that “Software as a Service (SaaS) continues to be the most highly deployed cloud segment, representing a commanding 62.4% of the total cloud market revenues.”
Article | April 15, 2020
Three out of four IoT projects are considered a failure, according to Cisco. This is troubling but even more so when Cisco also found 61 per cent of companies say they believe they’ve barely begun to scratch the surface of IoT can do for their business? Businesses believe in the long-term value offered by integrating IoT into their business plan, however, they lack the knowledge of what is required to ensure the success of such a complex project. By studying past failed projects, technology leaders can gain a better understanding of why they failed and what they can do differently when evaluating and undertaking new IoT initiatives.
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