How-To Build and Deploy IoT Projects
by Dr. Mazlan Abbas MSCA Committee Member
What’s the Next Step After “Learn and Teach” IoT?
The real “money” in the Internet of Things business is in the IoT projects themselves. There are many organizations that are undergoing digital transformation and embracing IR 4.0 technologies to remain competitive. In which part of the IoT value chain do you want to be? What kind of career can IoT offer you in the future? There are several key talents required in the IoT value chain. Business Development Product Manager Solutions architect IoT developers – hardware (electronics and embedded software) and software (front-end and back-end) System integrators You can either be on the vendor side or the customer side. You can either develop the IoT solutions in-house or totally outsource them. This depends on your IoT strategy, resource and talent. Strategy – Some organizations want to quickly develop their IoT solutions to solve their pressing issues. Each day can cost them highly if not resolved fast. Resource – Projects are temporary – thus building them requires a different set of talents. Why the need to allocate project development resources when you can focus on becoming the end-user and just use the IoT solutions to solve the problems. Talent – Do you need the talent for other IoT projects or they are only used for a temporary period? Do you need to re-train the current employees with new tools and can you afford the time to build an IoT project?
Steps Needed to Build and Deploy an IoT Solution? Steps Needed to Build and Deploy an IoT Solution?
There are 3 steps to start building and scaling your IoT project: Think Big Start Small – Keep the final vision in mind but break the big projects into smaller phases. Start with a Proof-of-Concept (POC) to get a buy-in from the C-suite. Show them the impact and benefit of the solution. The IoT solution can be a stand-alone system without the need for system integration. This will reduce the cost and time for project development. Integrate with Legacy System – In the early phase, ensure the platform is “open” to ensure they have an Open API for integration. A closed or proprietary system will definitely be very costly. A good digital transformation will enable the data to be shared from various systems and platforms. Thus, Open APIs are required in all systems. This phase will help you to get better insights into the future. Scale and Transform – When systems are able to share data and are interconnected, data can be easily aggregated from many sources which can then be used for predictive or prescriptive analytics.
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MSCA 2022
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