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Augmenting industrial IoT implementation with low code

The industrial Internet of Things ( IoT ) is revolutionizing the way manufacturers manage operations , streamline the supply chain , and provide value to customers .

It is estimated that the IoT will generate up to $ 11.1 trillion a year in economic value by 2025 , making IoT application development a compelling opportunity for a competitive advantage for IoT implementations . However , making IoT applications is difficult without the right resources . Currently , many organizations face several development challenges . According to a recent survey , developers are in high demand as organizations face a backlog of software projects , and the cost of software development is increasing .

To overcome these issues , forwardlooking companies are finding solutions outside of relying on just professional developers . The world of low-code application development is starting to play a major role in IoT application development , enabling companies to push ahead of their competitors with personalized IoT solutions . This powerful combination of industrial IoT augmented with low-code development capabilities helps organizations support innovation , improve IT and OT collaboration , monetize an expanding customer and supply chain ecosystem , extend the capabilities of legacy systems , and much more .

IoT app development challenges

While building personalized apps for specific business use cases can provide great advantages , it can be extremely hard to do without the right tools and services .

Two common challenges include :

• Domain knowledge Developing IoT applications often involves multiple

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disparate technologies and requires a broad domain knowledge across IT and OT systems ( systems that often do not talk to each other ). Further , developers need to really understand how users interact with machines and the insights that need to be uncovered .

• IT and OT elements Building IoT applications with traditional development techniques requires specialized skills , which are in high demand today . The industrial IoT is typically comprised of a complex mix of endpoints , platforms , back-end systems and data – including sensors , actuators , processors , embedded software , middleware , apps , analytics and machine learning . Developers must not only be versed in their organization ’ s OT systems and its underlying data and services , but also understand the IT elements . �

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